diff --git a/Duckling/Duration/ZH/Corpus.hs b/Duckling/Duration/ZH/Corpus.hs
index 298f5dbbb..1d102a555 100644
--- a/Duckling/Duration/ZH/Corpus.hs
+++ b/Duckling/Duration/ZH/Corpus.hs
@@ -12,15 +12,17 @@ module Duckling.Duration.ZH.Corpus
   ( corpus
   ) where
 
-import Prelude
 import Data.String
+import Prelude
 
 import Duckling.Duration.Types
+import Duckling.Locale
+import Duckling.Resolve
 import Duckling.Testing.Types
 import Duckling.TimeGrain.Types (Grain(..))
 
 corpus :: Corpus
-corpus = (testContext, allExamples)
+corpus = (testContext {locale = makeLocale ZH Nothing}, allExamples)
 
 allExamples :: [Example]
 allExamples = concat
diff --git a/Duckling/Locale.hs b/Duckling/Locale.hs
index 30e40dbf7..65155f8d7 100644
--- a/Duckling/Locale.hs
+++ b/Duckling/Locale.hs
@@ -69,7 +69,11 @@ instance TextShow Lang where
 -- | ISO 3166-1 alpha-2 Country code (includes regions and territories).
 -- See https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2
 data Region
-  = GB
+  = CN
+  | GB
+  | HK
+  | MO
+  | TW
   | US
   deriving (Bounded, Enum, Eq, Generic, Hashable, Ord, Read, Show)
 
@@ -97,4 +101,5 @@ makeLocale lang (Just region)
 allLocales :: HashMap Lang (HashSet Region)
 allLocales = HashMap.fromList
   [ (EN, HashSet.fromList [GB, US])
+  , (ZH, HashSet.fromList [CN, HK, MO, TW])
   ]
diff --git a/Duckling/Ranking/Classifiers/ZH_CN.hs b/Duckling/Ranking/Classifiers/ZH_CN.hs
new file mode 100644
index 000000000..f8efcd593
--- /dev/null
+++ b/Duckling/Ranking/Classifiers/ZH_CN.hs
@@ -0,0 +1,879 @@
+-- Copyright (c) 2016-present, Facebook, Inc.
+-- All rights reserved.
+--
+-- This source code is licensed under the BSD-style license found in the
+-- LICENSE file in the root directory of this source tree. An additional grant
+-- of patent rights can be found in the PATENTS file in the same directory.
+
+-----------------------------------------------------------------
+-- Auto-generated by regenClassifiers
+--
+-- DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
+--  @generated
+-----------------------------------------------------------------
+{-# LANGUAGE OverloadedStrings #-}
+module Duckling.Ranking.Classifiers.ZH_CN (classifiers) where
+import Data.String
+import Prelude
+import qualified Data.HashMap.Strict as HashMap
+import Duckling.Ranking.Types
+
+classifiers :: Classifiers
+classifiers
+  = HashMap.fromList
+      [("<time> timezone",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<time-of-day> am|pm", -0.6931471805599453),
+                                    ("hour", -0.6931471805599453)],
+                               n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Thursday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("integer (numeric)",
+        Classifier{okData =
+                     ClassData{prior = -0.5020919437972361, unseen = -3.871201010907891,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 46},
+                   koData =
+                     ClassData{prior = -0.9295359586241757,
+                               unseen = -3.4657359027997265,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 30}}),
+       ("the day before yesterday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("today",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("mm/dd",
+        Classifier{okData =
+                     ClassData{prior = -1.6094379124341003,
+                               unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
+                   koData =
+                     ClassData{prior = -0.2231435513142097, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
+       ("absorption of , after named day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.833213344056216,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day", -0.6931471805599453), ("Sunday", -0.6931471805599453)],
+                               n = 7},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("tonight",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("October",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("month (grain)",
+        Classifier{okData =
+                     ClassData{prior = -0.9808292530117262, unseen = -3.258096538021482,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 24},
+                   koData =
+                     ClassData{prior = -0.4700036292457356,
+                               unseen = -3.7376696182833684,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 40}}),
+       ("<time-of-day> o'clock",
+        Classifier{okData =
+                     ClassData{prior = -0.4418327522790392, unseen = -3.044522437723423,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -0.6931471805599453),
+                                    ("hour", -0.6931471805599453)],
+                               n = 9},
+                   koData =
+                     ClassData{prior = -1.0296194171811581,
+                               unseen = -2.5649493574615367,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -0.6931471805599453),
+                                    ("hour", -0.6931471805599453)],
+                               n = 5}}),
+       ("national day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.3025850929940455,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 8},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Wednesday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.9444389791664407,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 17},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("hour (grain)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.0910424533583156,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 20},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("intersect",
+        Classifier{okData =
+                     ClassData{prior = -0.4367176516122688, unseen = -4.624972813284271,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("children's day<part-of-day> <dim time>", -3.5165082281731497),
+                                    ("year (numeric with year symbol)<named-month> <day-of-month>",
+                                     -1.5705980791178364),
+                                    ("dayday", -1.9070703157390494),
+                                    ("hourhour", -3.005682604407159),
+                                    ("hourminute", -3.5165082281731497),
+                                    ("absorption of , after named day<named-month> <day-of-month>",
+                                     -1.9070703157390494),
+                                    ("dayminute", -3.5165082281731497),
+                                    ("tonight<time-of-day> o'clock", -3.005682604407159),
+                                    ("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
+                                     -3.5165082281731497),
+                                    ("yearday", -1.5705980791178364)],
+                               n = 42},
+                   koData =
+                     ClassData{prior = -1.0388930539664873,
+                               unseen = -4.1588830833596715,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("children's day<part-of-day> <dim time>", -2.1972245773362196),
+                                    ("dayhour", -2.5336968139574325),
+                                    ("daymonth", -2.063693184711697),
+                                    ("year (numeric with year symbol)February", -3.044522437723423),
+                                    ("<dim time> <part-of-day><time-of-day> o'clock",
+                                     -3.044522437723423),
+                                    ("hourhour", -3.044522437723423),
+                                    ("year (numeric with year symbol)March", -2.5336968139574325),
+                                    ("hourminute", -3.044522437723423),
+                                    ("yearmonth", -2.1972245773362196),
+                                    ("dayminute", -3.044522437723423),
+                                    ("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
+                                     -3.044522437723423),
+                                    ("absorption of , after named dayFebruary",
+                                     -2.063693184711697)],
+                               n = 23}}),
+       ("year (grain)",
+        Classifier{okData =
+                     ClassData{prior = -0.8209805520698302,
+                               unseen = -2.5649493574615367,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 11},
+                   koData =
+                     ClassData{prior = -0.579818495252942, unseen = -2.772588722239781,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 14}}),
+       ("Saturday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("last tuesday, last july",
+        Classifier{okData =
+                     ClassData{prior = -1.2039728043259361,
+                               unseen = -3.4965075614664802,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day", -0.9007865453381898), ("Sunday", -1.3862943611198906),
+                                    ("Tuesday", -1.6739764335716716)],
+                               n = 12},
+                   koData =
+                     ClassData{prior = -0.35667494393873245,
+                               unseen = -4.174387269895637,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -1.0233888674305223),
+                                    ("month (numeric with month symbol)", -2.367123614131617),
+                                    ("February", -3.4657359027997265),
+                                    ("hour", -1.0233888674305223), ("month", -2.2129729343043585)],
+                               n = 28}}),
+       ("next <cycle>",
+        Classifier{okData =
+                     ClassData{prior = -0.7472144018302211,
+                               unseen = -3.2188758248682006,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -1.3862943611198906),
+                                    ("month (grain)", -1.791759469228055),
+                                    ("year (grain)", -2.4849066497880004),
+                                    ("week (grain)", -1.3862943611198906),
+                                    ("year", -2.4849066497880004), ("month", -1.791759469228055)],
+                               n = 9},
+                   koData =
+                     ClassData{prior = -0.6418538861723948, unseen = -3.295836866004329,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -0.8602012652231115),
+                                    ("week (grain)", -0.8602012652231115)],
+                               n = 10}}),
+       ("last year",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("this <day-of-week>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.970291913552122,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Wednesday", -1.8718021769015913),
+                                    ("Monday", -1.8718021769015913), ("day", -0.7323678937132265),
+                                    ("Tuesday", -1.5533484457830569)],
+                               n = 24},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("yyyy-mm-dd",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("mm/dd/yyyy",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("evening|night",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Monday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.258096538021482,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 24},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("yesterday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("next year",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("hh:mm (time-of-day)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<integer> (latent time-of-day)",
+        Classifier{okData =
+                     ClassData{prior = -1.3217558399823195,
+                               unseen = -2.9444389791664407,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)", -1.2809338454620642),
+                                    ("integer (0..10)", -0.325422400434628)],
+                               n = 16},
+                   koData =
+                     ClassData{prior = -0.3101549283038396,
+                               unseen = -3.8501476017100584,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)", -2.2192034840549946),
+                                    ("integer (0..10)", -0.11506932978478723)],
+                               n = 44}}),
+       ("nth <time> of <time>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.995732273553991,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Octoberordinal (digits)Monday", -1.3350010667323402),
+                                    ("monthday", -0.7472144018302211),
+                                    ("month (numeric with month symbol)ordinal (digits)Monday",
+                                     -1.3350010667323402)],
+                               n = 8},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("month (numeric with month symbol)",
+        Classifier{okData =
+                     ClassData{prior = -0.13976194237515874,
+                               unseen = -3.7612001156935624,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)", -1.0296194171811581),
+                                    ("integer (0..10)", -0.4418327522790392)],
+                               n = 40},
+                   koData =
+                     ClassData{prior = -2.03688192726104, unseen = -2.1972245773362196,
+                               likelihoods =
+                                 HashMap.fromList [("integer (0..10)", -0.13353139262452263)],
+                               n = 6}}),
+       ("week (grain)",
+        Classifier{okData =
+                     ClassData{prior = -0.8434293836092833,
+                               unseen = -3.6635616461296463,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 37},
+                   koData =
+                     ClassData{prior = -0.5625269981428811,
+                               unseen = -3.9318256327243257,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 49}}),
+       ("valentine's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("year (numeric with year symbol)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.772588722239781,
+                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
+                               n = 14},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("now",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 10},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("numbers prefix with -, negative or minus",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
+                               n = 4}}),
+       ("Friday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("tomorrow",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("this year",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("next <day-of-week>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.1780538303479458,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Wednesday", -1.3437347467010947),
+                                    ("day", -0.7375989431307791), ("Tuesday", -1.3437347467010947)],
+                               n = 10},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Sunday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.0910424533583156,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 20},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("afternoon",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.3978952727983707,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 9},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<duration> from now",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -3.891820298110627,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.2617630984737906), ("second", -2.772588722239781),
+                                    ("day", -2.2617630984737906), ("year", -2.772588722239781),
+                                    ("<integer> <unit-of-duration>", -0.8266785731844679),
+                                    ("hour", -2.2617630984737906), ("month", -2.772588722239781),
+                                    ("minute", -2.772588722239781)],
+                               n = 20}}),
+       ("February",
+        Classifier{okData =
+                     ClassData{prior = -6.453852113757118e-2,
+                               unseen = -2.833213344056216,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 15},
+                   koData =
+                     ClassData{prior = -2.772588722239781, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
+       ("this <cycle>",
+        Classifier{okData =
+                     ClassData{prior = -1.0185695809945732,
+                               unseen = -3.4339872044851463,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -0.916290731874155),
+                                    ("year (grain)", -2.3025850929940455),
+                                    ("week (grain)", -0.916290731874155),
+                                    ("year", -2.3025850929940455)],
+                               n = 13},
+                   koData =
+                     ClassData{prior = -0.4480247225269604,
+                               unseen = -3.9318256327243257,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -0.7339691750802004),
+                                    ("week (grain)", -0.7339691750802004)],
+                               n = 23}}),
+       ("minute (grain)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.890371757896165,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 16},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<dim time> <part-of-day>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.9889840465642745,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("dayhour", -0.7514160886839211),
+                                    ("national dayevening|night", -2.871679624884012),
+                                    ("<named-month> <day-of-month>morning", -1.405342556090585),
+                                    ("children's dayafternoon", -2.871679624884012),
+                                    ("Mondaymorning", -1.7730673362159024)],
+                               n = 24},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<part-of-day> <dim time>",
+        Classifier{okData =
+                     ClassData{prior = -0.587786664902119, unseen = -3.891820298110627,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("tonight<integer> (latent time-of-day)", -2.2617630984737906),
+                                    ("hourhour", -1.1631508098056809),
+                                    ("afternoonrelative minutes after|past <integer> (hour-of-day)",
+                                     -2.0794415416798357),
+                                    ("afternoon<time-of-day> o'clock", -2.4849066497880004),
+                                    ("hourminute", -1.9252908618525775),
+                                    ("afternoon<integer> (latent time-of-day)",
+                                     -2.4849066497880004),
+                                    ("afternoonhh:mm (time-of-day)", -3.1780538303479458),
+                                    ("tonight<time-of-day> o'clock", -2.2617630984737906)],
+                               n = 20},
+                   koData =
+                     ClassData{prior = -0.8109302162163288, unseen = -3.713572066704308,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("hourhour", -1.2039728043259361),
+                                    ("afternoonrelative minutes after|past <integer> (hour-of-day)",
+                                     -1.8971199848858813),
+                                    ("afternoon<time-of-day> o'clock", -1.8971199848858813),
+                                    ("hourminute", -1.8971199848858813),
+                                    ("afternoon<integer> (latent time-of-day)",
+                                     -1.742969305058623)],
+                               n = 16}}),
+       ("<integer> <unit-of-duration>",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -2.833213344056216,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -5.877735781779639,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.6560549059838294),
+                                    ("integer (0..10)month (grain)", -2.068268241081711),
+                                    ("integer (0..10)hour (grain)", -2.8304082931286074),
+                                    ("second", -3.235873401236772),
+                                    ("integer (0..10)day (grain)", -3.0417173867958143),
+                                    ("integer (0..10)year (grain)", -3.572345637857985),
+                                    ("integer (numeric)year (grain)", -3.1668805297498204),
+                                    ("integer (0..10)second (grain)", -3.235873401236772),
+                                    ("day", -3.0417173867958143), ("year", -2.6968769005040847),
+                                    ("integer (0..10)minute (grain)", -3.0417173867958143),
+                                    ("hour", -2.8304082931286074),
+                                    ("integer (0..10)week (grain)", -2.6560549059838294),
+                                    ("month", -1.7973932869463112),
+                                    ("integer (numeric)month (grain)", -3.1668805297498204),
+                                    ("minute", -3.0417173867958143)],
+                               n = 170}}),
+       ("integer (11..19)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [("integer (0..10)", 0.0)], n = 13},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<time-of-day> am|pm",
+        Classifier{okData =
+                     ClassData{prior = -0.4700036292457356, unseen = -2.70805020110221,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("hh:mm (time-of-day)", -1.252762968495368),
+                                    ("<integer> (latent time-of-day)", -1.540445040947149),
+                                    ("hour", -1.540445040947149), ("minute", -1.252762968495368)],
+                               n = 5},
+                   koData =
+                     ClassData{prior = -0.9808292530117262,
+                               unseen = -2.3978952727983707,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -0.916290731874155),
+                                    ("hour", -0.916290731874155)],
+                               n = 3}}),
+       ("relative minutes after|past <integer> (hour-of-day)",
+        Classifier{okData =
+                     ClassData{prior = -0.6931471805599453, unseen = -2.639057329615259,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)integer (11..19)",
+                                     -0.7731898882334817),
+                                    ("hour", -0.7731898882334817)],
+                               n = 5},
+                   koData =
+                     ClassData{prior = -0.6931471805599453, unseen = -2.639057329615259,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)integer (0..10)",
+                                     -0.7731898882334817),
+                                    ("hour", -0.7731898882334817)],
+                               n = 5}}),
+       ("army's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("intersect by \",\"",
+        Classifier{okData =
+                     ClassData{prior = -0.40546510810816444,
+                               unseen = -3.4965075614664802,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Sunday<named-month> <day-of-month>", -0.7576857016975165),
+                                    ("dayday", -0.7576857016975165)],
+                               n = 14},
+                   koData =
+                     ClassData{prior = -1.0986122886681098,
+                               unseen = -2.9444389791664407,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("daymonth", -0.8109302162163288),
+                                    ("SundayFebruary", -0.8109302162163288)],
+                               n = 7}}),
+       ("second (grain)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 13},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<duration> ago",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -3.891820298110627,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.2617630984737906), ("second", -2.772588722239781),
+                                    ("day", -2.2617630984737906), ("year", -2.772588722239781),
+                                    ("<integer> <unit-of-duration>", -0.8266785731844679),
+                                    ("hour", -2.2617630984737906), ("month", -2.772588722239781),
+                                    ("minute", -2.772588722239781)],
+                               n = 20}}),
+       ("last <time>",
+        Classifier{okData =
+                     ClassData{prior = -1.2039728043259361,
+                               unseen = -3.4965075614664802,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day", -0.9007865453381898), ("Sunday", -1.3862943611198906),
+                                    ("Tuesday", -1.6739764335716716)],
+                               n = 12},
+                   koData =
+                     ClassData{prior = -0.35667494393873245,
+                               unseen = -4.174387269895637,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -1.0233888674305223),
+                                    ("month (numeric with month symbol)", -2.367123614131617),
+                                    ("February", -3.4657359027997265),
+                                    ("hour", -1.0233888674305223), ("month", -2.2129729343043585)],
+                               n = 28}}),
+       ("March",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 7},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("the day after tomorrow",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("next <time>",
+        Classifier{okData =
+                     ClassData{prior = -1.5260563034950494, unseen = -2.890371757896165,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day", -1.041453874828161), ("Tuesday", -1.041453874828161)],
+                               n = 5},
+                   koData =
+                     ClassData{prior = -0.24512245803298496,
+                               unseen = -3.784189633918261,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Wednesday", -1.9694406464655074),
+                                    ("<integer> (latent time-of-day)", -1.1962507582320256),
+                                    ("month (numeric with month symbol)", -3.068052935133617),
+                                    ("day", -1.9694406464655074), ("hour", -1.1962507582320256),
+                                    ("month", -3.068052935133617)],
+                               n = 18}}),
+       ("last <cycle>",
+        Classifier{okData =
+                     ClassData{prior = -0.8472978603872037,
+                               unseen = -3.2188758248682006,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -1.3862943611198906),
+                                    ("month (grain)", -1.791759469228055),
+                                    ("year (grain)", -2.4849066497880004),
+                                    ("week (grain)", -1.3862943611198906),
+                                    ("year", -2.4849066497880004), ("month", -1.791759469228055)],
+                               n = 9},
+                   koData =
+                     ClassData{prior = -0.5596157879354228,
+                               unseen = -3.4339872044851463,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -0.8362480242006186),
+                                    ("week (grain)", -0.8362480242006186)],
+                               n = 12}}),
+       ("christmas",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("new year's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("next n <cycle>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -4.59511985013459,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.3877429013343523),
+                                    ("integer (0..10)month (grain)", -2.793208009442517),
+                                    ("integer (0..10)hour (grain)", -2.3877429013343523),
+                                    ("second", -2.793208009442517),
+                                    ("integer (0..10)day (grain)", -2.505525936990736),
+                                    ("integer (0..10)year (grain)", -3.1986731175506815),
+                                    ("integer (0..10)second (grain)", -2.793208009442517),
+                                    ("day", -2.505525936990736), ("year", -3.1986731175506815),
+                                    ("integer (0..10)minute (grain)", -2.639057329615259),
+                                    ("hour", -2.3877429013343523),
+                                    ("integer (0..10)week (grain)", -2.3877429013343523),
+                                    ("month", -2.793208009442517), ("minute", -2.639057329615259)],
+                               n = 42},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Tuesday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.295836866004329,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 25},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("children's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<named-month> <day-of-month>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -4.8283137373023015,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Marchinteger (0..10)", -3.028522096376982),
+                                    ("Februaryinteger (11..19)", -2.6230569882688175),
+                                    ("month (numeric with month symbol)integer (11..19)",
+                                     -2.6230569882688175),
+                                    ("Marchinteger (numeric)", -3.721669276936927),
+                                    ("month (numeric with month symbol)integer (numeric)",
+                                     -2.1122313645028266),
+                                    ("Februaryinteger (0..10)", -2.740840023925201),
+                                    ("month", -0.7427441216993174),
+                                    ("month (numeric with month symbol)integer (0..10)",
+                                     -2.1122313645028266)],
+                               n = 58},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("integer (0..10)",
+        Classifier{okData =
+                     ClassData{prior = -0.4540728071735412, unseen = -5.170483995038151,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 174},
+                   koData =
+                     ClassData{prior = -1.007957920399979, unseen = -4.624972813284271,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 100}}),
+       ("last n <cycle>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -4.61512051684126,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.995732273553991),
+                                    ("integer (0..10)month (grain)", -2.120263536200091),
+                                    ("integer (0..10)hour (grain)", -2.4079456086518722),
+                                    ("second", -2.659260036932778),
+                                    ("integer (0..10)day (grain)", -2.995732273553991),
+                                    ("integer (0..10)year (grain)", -3.506557897319982),
+                                    ("integer (0..10)second (grain)", -2.659260036932778),
+                                    ("day", -2.995732273553991), ("year", -3.506557897319982),
+                                    ("integer (0..10)minute (grain)", -2.4079456086518722),
+                                    ("hour", -2.4079456086518722),
+                                    ("integer (0..10)week (grain)", -2.995732273553991),
+                                    ("month", -2.120263536200091), ("minute", -2.4079456086518722)],
+                               n = 43},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("ordinal (digits)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("integer (0..10)", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("n <cycle> last",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -4.007333185232471,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.379546134130174),
+                                    ("integer (0..10)month (grain)", -2.890371757896165),
+                                    ("integer (0..10)hour (grain)", -2.379546134130174),
+                                    ("second", -2.890371757896165),
+                                    ("integer (0..10)day (grain)", -2.379546134130174),
+                                    ("integer (0..10)year (grain)", -2.890371757896165),
+                                    ("integer (0..10)second (grain)", -2.890371757896165),
+                                    ("day", -2.379546134130174), ("year", -2.890371757896165),
+                                    ("integer (0..10)minute (grain)", -2.890371757896165),
+                                    ("hour", -2.379546134130174),
+                                    ("integer (0..10)week (grain)", -2.379546134130174),
+                                    ("month", -2.890371757896165), ("minute", -2.890371757896165)],
+                               n = 20},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("morning",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.890371757896165,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 16},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("week-end",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("day (grain)",
+        Classifier{okData =
+                     ClassData{prior = -6.453852113757118e-2,
+                               unseen = -2.833213344056216,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 15},
+                   koData =
+                     ClassData{prior = -2.772588722239781, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
+       ("labor day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("women's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("this <time>",
+        Classifier{okData =
+                     ClassData{prior = -0.2076393647782445, unseen = -4.0943445622221,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Wednesday", -1.9980959022258835),
+                                    ("Monday", -1.9980959022258835), ("day", -0.8586616190375187),
+                                    ("hour", -2.9789251552376097), ("Tuesday", -1.6796421711073488),
+                                    ("week-end", -2.9789251552376097)],
+                               n = 26},
+                   koData =
+                     ClassData{prior = -1.6739764335716716, unseen = -2.995732273553991,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -0.9985288301111273),
+                                    ("hour", -0.9985288301111273)],
+                               n = 6}})]
\ No newline at end of file
diff --git a/Duckling/Ranking/Classifiers/ZH_HK.hs b/Duckling/Ranking/Classifiers/ZH_HK.hs
new file mode 100644
index 000000000..479ccdfc6
--- /dev/null
+++ b/Duckling/Ranking/Classifiers/ZH_HK.hs
@@ -0,0 +1,879 @@
+-- Copyright (c) 2016-present, Facebook, Inc.
+-- All rights reserved.
+--
+-- This source code is licensed under the BSD-style license found in the
+-- LICENSE file in the root directory of this source tree. An additional grant
+-- of patent rights can be found in the PATENTS file in the same directory.
+
+-----------------------------------------------------------------
+-- Auto-generated by regenClassifiers
+--
+-- DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
+--  @generated
+-----------------------------------------------------------------
+{-# LANGUAGE OverloadedStrings #-}
+module Duckling.Ranking.Classifiers.ZH_HK (classifiers) where
+import Data.String
+import Prelude
+import qualified Data.HashMap.Strict as HashMap
+import Duckling.Ranking.Types
+
+classifiers :: Classifiers
+classifiers
+  = HashMap.fromList
+      [("<time> timezone",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<time-of-day> am|pm", -0.6931471805599453),
+                                    ("hour", -0.6931471805599453)],
+                               n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Thursday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("integer (numeric)",
+        Classifier{okData =
+                     ClassData{prior = -0.5020919437972361, unseen = -3.871201010907891,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 46},
+                   koData =
+                     ClassData{prior = -0.9295359586241757,
+                               unseen = -3.4657359027997265,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 30}}),
+       ("the day before yesterday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("today",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("mm/dd",
+        Classifier{okData =
+                     ClassData{prior = -1.6094379124341003,
+                               unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
+                   koData =
+                     ClassData{prior = -0.2231435513142097, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
+       ("absorption of , after named day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.833213344056216,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day", -0.6931471805599453), ("Sunday", -0.6931471805599453)],
+                               n = 7},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("tonight",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("October",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("month (grain)",
+        Classifier{okData =
+                     ClassData{prior = -0.9808292530117262, unseen = -3.258096538021482,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 24},
+                   koData =
+                     ClassData{prior = -0.4700036292457356,
+                               unseen = -3.7376696182833684,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 40}}),
+       ("<time-of-day> o'clock",
+        Classifier{okData =
+                     ClassData{prior = -0.4418327522790392, unseen = -3.044522437723423,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -0.6931471805599453),
+                                    ("hour", -0.6931471805599453)],
+                               n = 9},
+                   koData =
+                     ClassData{prior = -1.0296194171811581,
+                               unseen = -2.5649493574615367,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -0.6931471805599453),
+                                    ("hour", -0.6931471805599453)],
+                               n = 5}}),
+       ("national day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.3025850929940455,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 8},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Wednesday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.9444389791664407,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 17},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("hour (grain)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.0910424533583156,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 20},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("intersect",
+        Classifier{okData =
+                     ClassData{prior = -0.4367176516122688, unseen = -4.624972813284271,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("children's day<part-of-day> <dim time>", -3.5165082281731497),
+                                    ("year (numeric with year symbol)<named-month> <day-of-month>",
+                                     -1.5705980791178364),
+                                    ("dayday", -1.9070703157390494),
+                                    ("hourhour", -3.005682604407159),
+                                    ("hourminute", -3.5165082281731497),
+                                    ("absorption of , after named day<named-month> <day-of-month>",
+                                     -1.9070703157390494),
+                                    ("dayminute", -3.5165082281731497),
+                                    ("tonight<time-of-day> o'clock", -3.005682604407159),
+                                    ("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
+                                     -3.5165082281731497),
+                                    ("yearday", -1.5705980791178364)],
+                               n = 42},
+                   koData =
+                     ClassData{prior = -1.0388930539664873,
+                               unseen = -4.1588830833596715,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("children's day<part-of-day> <dim time>", -2.1972245773362196),
+                                    ("dayhour", -2.5336968139574325),
+                                    ("daymonth", -2.063693184711697),
+                                    ("year (numeric with year symbol)February", -3.044522437723423),
+                                    ("<dim time> <part-of-day><time-of-day> o'clock",
+                                     -3.044522437723423),
+                                    ("hourhour", -3.044522437723423),
+                                    ("year (numeric with year symbol)March", -2.5336968139574325),
+                                    ("hourminute", -3.044522437723423),
+                                    ("yearmonth", -2.1972245773362196),
+                                    ("dayminute", -3.044522437723423),
+                                    ("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
+                                     -3.044522437723423),
+                                    ("absorption of , after named dayFebruary",
+                                     -2.063693184711697)],
+                               n = 23}}),
+       ("year (grain)",
+        Classifier{okData =
+                     ClassData{prior = -0.8209805520698302,
+                               unseen = -2.5649493574615367,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 11},
+                   koData =
+                     ClassData{prior = -0.579818495252942, unseen = -2.772588722239781,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 14}}),
+       ("Saturday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("last tuesday, last july",
+        Classifier{okData =
+                     ClassData{prior = -1.2039728043259361,
+                               unseen = -3.4965075614664802,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day", -0.9007865453381898), ("Sunday", -1.3862943611198906),
+                                    ("Tuesday", -1.6739764335716716)],
+                               n = 12},
+                   koData =
+                     ClassData{prior = -0.35667494393873245,
+                               unseen = -4.174387269895637,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -1.0233888674305223),
+                                    ("month (numeric with month symbol)", -2.367123614131617),
+                                    ("February", -3.4657359027997265),
+                                    ("hour", -1.0233888674305223), ("month", -2.2129729343043585)],
+                               n = 28}}),
+       ("next <cycle>",
+        Classifier{okData =
+                     ClassData{prior = -0.7472144018302211,
+                               unseen = -3.2188758248682006,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -1.3862943611198906),
+                                    ("month (grain)", -1.791759469228055),
+                                    ("year (grain)", -2.4849066497880004),
+                                    ("week (grain)", -1.3862943611198906),
+                                    ("year", -2.4849066497880004), ("month", -1.791759469228055)],
+                               n = 9},
+                   koData =
+                     ClassData{prior = -0.6418538861723948, unseen = -3.295836866004329,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -0.8602012652231115),
+                                    ("week (grain)", -0.8602012652231115)],
+                               n = 10}}),
+       ("last year",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("this <day-of-week>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.970291913552122,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Wednesday", -1.8718021769015913),
+                                    ("Monday", -1.8718021769015913), ("day", -0.7323678937132265),
+                                    ("Tuesday", -1.5533484457830569)],
+                               n = 24},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("yyyy-mm-dd",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("mm/dd/yyyy",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("evening|night",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Monday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.258096538021482,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 24},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("yesterday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("next year",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("hh:mm (time-of-day)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<integer> (latent time-of-day)",
+        Classifier{okData =
+                     ClassData{prior = -1.3217558399823195,
+                               unseen = -2.9444389791664407,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)", -1.2809338454620642),
+                                    ("integer (0..10)", -0.325422400434628)],
+                               n = 16},
+                   koData =
+                     ClassData{prior = -0.3101549283038396,
+                               unseen = -3.8501476017100584,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)", -2.2192034840549946),
+                                    ("integer (0..10)", -0.11506932978478723)],
+                               n = 44}}),
+       ("nth <time> of <time>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.995732273553991,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Octoberordinal (digits)Monday", -1.3350010667323402),
+                                    ("monthday", -0.7472144018302211),
+                                    ("month (numeric with month symbol)ordinal (digits)Monday",
+                                     -1.3350010667323402)],
+                               n = 8},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("month (numeric with month symbol)",
+        Classifier{okData =
+                     ClassData{prior = -0.13976194237515874,
+                               unseen = -3.7612001156935624,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)", -1.0296194171811581),
+                                    ("integer (0..10)", -0.4418327522790392)],
+                               n = 40},
+                   koData =
+                     ClassData{prior = -2.03688192726104, unseen = -2.1972245773362196,
+                               likelihoods =
+                                 HashMap.fromList [("integer (0..10)", -0.13353139262452263)],
+                               n = 6}}),
+       ("week (grain)",
+        Classifier{okData =
+                     ClassData{prior = -0.8434293836092833,
+                               unseen = -3.6635616461296463,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 37},
+                   koData =
+                     ClassData{prior = -0.5625269981428811,
+                               unseen = -3.9318256327243257,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 49}}),
+       ("valentine's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("year (numeric with year symbol)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.772588722239781,
+                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
+                               n = 14},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("now",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 10},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("numbers prefix with -, negative or minus",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
+                               n = 4}}),
+       ("Friday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("tomorrow",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("this year",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("next <day-of-week>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.1780538303479458,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Wednesday", -1.3437347467010947),
+                                    ("day", -0.7375989431307791), ("Tuesday", -1.3437347467010947)],
+                               n = 10},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Sunday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.0910424533583156,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 20},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("afternoon",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.3978952727983707,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 9},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<duration> from now",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -3.891820298110627,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.2617630984737906), ("second", -2.772588722239781),
+                                    ("day", -2.2617630984737906), ("year", -2.772588722239781),
+                                    ("<integer> <unit-of-duration>", -0.8266785731844679),
+                                    ("hour", -2.2617630984737906), ("month", -2.772588722239781),
+                                    ("minute", -2.772588722239781)],
+                               n = 20}}),
+       ("February",
+        Classifier{okData =
+                     ClassData{prior = -6.453852113757118e-2,
+                               unseen = -2.833213344056216,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 15},
+                   koData =
+                     ClassData{prior = -2.772588722239781, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
+       ("this <cycle>",
+        Classifier{okData =
+                     ClassData{prior = -1.0185695809945732,
+                               unseen = -3.4339872044851463,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -0.916290731874155),
+                                    ("year (grain)", -2.3025850929940455),
+                                    ("week (grain)", -0.916290731874155),
+                                    ("year", -2.3025850929940455)],
+                               n = 13},
+                   koData =
+                     ClassData{prior = -0.4480247225269604,
+                               unseen = -3.9318256327243257,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -0.7339691750802004),
+                                    ("week (grain)", -0.7339691750802004)],
+                               n = 23}}),
+       ("minute (grain)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.890371757896165,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 16},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<dim time> <part-of-day>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.9889840465642745,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("dayhour", -0.7514160886839211),
+                                    ("national dayevening|night", -2.871679624884012),
+                                    ("<named-month> <day-of-month>morning", -1.405342556090585),
+                                    ("children's dayafternoon", -2.871679624884012),
+                                    ("Mondaymorning", -1.7730673362159024)],
+                               n = 24},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<part-of-day> <dim time>",
+        Classifier{okData =
+                     ClassData{prior = -0.587786664902119, unseen = -3.891820298110627,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("tonight<integer> (latent time-of-day)", -2.2617630984737906),
+                                    ("hourhour", -1.1631508098056809),
+                                    ("afternoonrelative minutes after|past <integer> (hour-of-day)",
+                                     -2.0794415416798357),
+                                    ("afternoon<time-of-day> o'clock", -2.4849066497880004),
+                                    ("hourminute", -1.9252908618525775),
+                                    ("afternoon<integer> (latent time-of-day)",
+                                     -2.4849066497880004),
+                                    ("afternoonhh:mm (time-of-day)", -3.1780538303479458),
+                                    ("tonight<time-of-day> o'clock", -2.2617630984737906)],
+                               n = 20},
+                   koData =
+                     ClassData{prior = -0.8109302162163288, unseen = -3.713572066704308,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("hourhour", -1.2039728043259361),
+                                    ("afternoonrelative minutes after|past <integer> (hour-of-day)",
+                                     -1.8971199848858813),
+                                    ("afternoon<time-of-day> o'clock", -1.8971199848858813),
+                                    ("hourminute", -1.8971199848858813),
+                                    ("afternoon<integer> (latent time-of-day)",
+                                     -1.742969305058623)],
+                               n = 16}}),
+       ("<integer> <unit-of-duration>",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -2.833213344056216,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -5.877735781779639,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.6560549059838294),
+                                    ("integer (0..10)month (grain)", -2.068268241081711),
+                                    ("integer (0..10)hour (grain)", -2.8304082931286074),
+                                    ("second", -3.235873401236772),
+                                    ("integer (0..10)day (grain)", -3.0417173867958143),
+                                    ("integer (0..10)year (grain)", -3.572345637857985),
+                                    ("integer (numeric)year (grain)", -3.1668805297498204),
+                                    ("integer (0..10)second (grain)", -3.235873401236772),
+                                    ("day", -3.0417173867958143), ("year", -2.6968769005040847),
+                                    ("integer (0..10)minute (grain)", -3.0417173867958143),
+                                    ("hour", -2.8304082931286074),
+                                    ("integer (0..10)week (grain)", -2.6560549059838294),
+                                    ("month", -1.7973932869463112),
+                                    ("integer (numeric)month (grain)", -3.1668805297498204),
+                                    ("minute", -3.0417173867958143)],
+                               n = 170}}),
+       ("integer (11..19)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [("integer (0..10)", 0.0)], n = 13},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<time-of-day> am|pm",
+        Classifier{okData =
+                     ClassData{prior = -0.4700036292457356, unseen = -2.70805020110221,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("hh:mm (time-of-day)", -1.252762968495368),
+                                    ("<integer> (latent time-of-day)", -1.540445040947149),
+                                    ("hour", -1.540445040947149), ("minute", -1.252762968495368)],
+                               n = 5},
+                   koData =
+                     ClassData{prior = -0.9808292530117262,
+                               unseen = -2.3978952727983707,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -0.916290731874155),
+                                    ("hour", -0.916290731874155)],
+                               n = 3}}),
+       ("relative minutes after|past <integer> (hour-of-day)",
+        Classifier{okData =
+                     ClassData{prior = -0.6931471805599453, unseen = -2.639057329615259,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)integer (11..19)",
+                                     -0.7731898882334817),
+                                    ("hour", -0.7731898882334817)],
+                               n = 5},
+                   koData =
+                     ClassData{prior = -0.6931471805599453, unseen = -2.639057329615259,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)integer (0..10)",
+                                     -0.7731898882334817),
+                                    ("hour", -0.7731898882334817)],
+                               n = 5}}),
+       ("army's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("intersect by \",\"",
+        Classifier{okData =
+                     ClassData{prior = -0.40546510810816444,
+                               unseen = -3.4965075614664802,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Sunday<named-month> <day-of-month>", -0.7576857016975165),
+                                    ("dayday", -0.7576857016975165)],
+                               n = 14},
+                   koData =
+                     ClassData{prior = -1.0986122886681098,
+                               unseen = -2.9444389791664407,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("daymonth", -0.8109302162163288),
+                                    ("SundayFebruary", -0.8109302162163288)],
+                               n = 7}}),
+       ("second (grain)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 13},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<duration> ago",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -3.891820298110627,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.2617630984737906), ("second", -2.772588722239781),
+                                    ("day", -2.2617630984737906), ("year", -2.772588722239781),
+                                    ("<integer> <unit-of-duration>", -0.8266785731844679),
+                                    ("hour", -2.2617630984737906), ("month", -2.772588722239781),
+                                    ("minute", -2.772588722239781)],
+                               n = 20}}),
+       ("last <time>",
+        Classifier{okData =
+                     ClassData{prior = -1.2039728043259361,
+                               unseen = -3.4965075614664802,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day", -0.9007865453381898), ("Sunday", -1.3862943611198906),
+                                    ("Tuesday", -1.6739764335716716)],
+                               n = 12},
+                   koData =
+                     ClassData{prior = -0.35667494393873245,
+                               unseen = -4.174387269895637,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -1.0233888674305223),
+                                    ("month (numeric with month symbol)", -2.367123614131617),
+                                    ("February", -3.4657359027997265),
+                                    ("hour", -1.0233888674305223), ("month", -2.2129729343043585)],
+                               n = 28}}),
+       ("March",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 7},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("the day after tomorrow",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("next <time>",
+        Classifier{okData =
+                     ClassData{prior = -1.5260563034950494, unseen = -2.890371757896165,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day", -1.041453874828161), ("Tuesday", -1.041453874828161)],
+                               n = 5},
+                   koData =
+                     ClassData{prior = -0.24512245803298496,
+                               unseen = -3.784189633918261,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Wednesday", -1.9694406464655074),
+                                    ("<integer> (latent time-of-day)", -1.1962507582320256),
+                                    ("month (numeric with month symbol)", -3.068052935133617),
+                                    ("day", -1.9694406464655074), ("hour", -1.1962507582320256),
+                                    ("month", -3.068052935133617)],
+                               n = 18}}),
+       ("last <cycle>",
+        Classifier{okData =
+                     ClassData{prior = -0.8472978603872037,
+                               unseen = -3.2188758248682006,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -1.3862943611198906),
+                                    ("month (grain)", -1.791759469228055),
+                                    ("year (grain)", -2.4849066497880004),
+                                    ("week (grain)", -1.3862943611198906),
+                                    ("year", -2.4849066497880004), ("month", -1.791759469228055)],
+                               n = 9},
+                   koData =
+                     ClassData{prior = -0.5596157879354228,
+                               unseen = -3.4339872044851463,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -0.8362480242006186),
+                                    ("week (grain)", -0.8362480242006186)],
+                               n = 12}}),
+       ("christmas",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("new year's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("next n <cycle>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -4.59511985013459,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.3877429013343523),
+                                    ("integer (0..10)month (grain)", -2.793208009442517),
+                                    ("integer (0..10)hour (grain)", -2.3877429013343523),
+                                    ("second", -2.793208009442517),
+                                    ("integer (0..10)day (grain)", -2.505525936990736),
+                                    ("integer (0..10)year (grain)", -3.1986731175506815),
+                                    ("integer (0..10)second (grain)", -2.793208009442517),
+                                    ("day", -2.505525936990736), ("year", -3.1986731175506815),
+                                    ("integer (0..10)minute (grain)", -2.639057329615259),
+                                    ("hour", -2.3877429013343523),
+                                    ("integer (0..10)week (grain)", -2.3877429013343523),
+                                    ("month", -2.793208009442517), ("minute", -2.639057329615259)],
+                               n = 42},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Tuesday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.295836866004329,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 25},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("children's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<named-month> <day-of-month>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -4.8283137373023015,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Marchinteger (0..10)", -3.028522096376982),
+                                    ("Februaryinteger (11..19)", -2.6230569882688175),
+                                    ("month (numeric with month symbol)integer (11..19)",
+                                     -2.6230569882688175),
+                                    ("Marchinteger (numeric)", -3.721669276936927),
+                                    ("month (numeric with month symbol)integer (numeric)",
+                                     -2.1122313645028266),
+                                    ("Februaryinteger (0..10)", -2.740840023925201),
+                                    ("month", -0.7427441216993174),
+                                    ("month (numeric with month symbol)integer (0..10)",
+                                     -2.1122313645028266)],
+                               n = 58},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("integer (0..10)",
+        Classifier{okData =
+                     ClassData{prior = -0.4540728071735412, unseen = -5.170483995038151,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 174},
+                   koData =
+                     ClassData{prior = -1.007957920399979, unseen = -4.624972813284271,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 100}}),
+       ("last n <cycle>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -4.61512051684126,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.995732273553991),
+                                    ("integer (0..10)month (grain)", -2.120263536200091),
+                                    ("integer (0..10)hour (grain)", -2.4079456086518722),
+                                    ("second", -2.659260036932778),
+                                    ("integer (0..10)day (grain)", -2.995732273553991),
+                                    ("integer (0..10)year (grain)", -3.506557897319982),
+                                    ("integer (0..10)second (grain)", -2.659260036932778),
+                                    ("day", -2.995732273553991), ("year", -3.506557897319982),
+                                    ("integer (0..10)minute (grain)", -2.4079456086518722),
+                                    ("hour", -2.4079456086518722),
+                                    ("integer (0..10)week (grain)", -2.995732273553991),
+                                    ("month", -2.120263536200091), ("minute", -2.4079456086518722)],
+                               n = 43},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("ordinal (digits)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("integer (0..10)", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("n <cycle> last",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -4.007333185232471,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.379546134130174),
+                                    ("integer (0..10)month (grain)", -2.890371757896165),
+                                    ("integer (0..10)hour (grain)", -2.379546134130174),
+                                    ("second", -2.890371757896165),
+                                    ("integer (0..10)day (grain)", -2.379546134130174),
+                                    ("integer (0..10)year (grain)", -2.890371757896165),
+                                    ("integer (0..10)second (grain)", -2.890371757896165),
+                                    ("day", -2.379546134130174), ("year", -2.890371757896165),
+                                    ("integer (0..10)minute (grain)", -2.890371757896165),
+                                    ("hour", -2.379546134130174),
+                                    ("integer (0..10)week (grain)", -2.379546134130174),
+                                    ("month", -2.890371757896165), ("minute", -2.890371757896165)],
+                               n = 20},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("morning",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.890371757896165,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 16},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("week-end",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("day (grain)",
+        Classifier{okData =
+                     ClassData{prior = -6.453852113757118e-2,
+                               unseen = -2.833213344056216,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 15},
+                   koData =
+                     ClassData{prior = -2.772588722239781, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
+       ("labor day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("women's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("this <time>",
+        Classifier{okData =
+                     ClassData{prior = -0.2076393647782445, unseen = -4.0943445622221,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Wednesday", -1.9980959022258835),
+                                    ("Monday", -1.9980959022258835), ("day", -0.8586616190375187),
+                                    ("hour", -2.9789251552376097), ("Tuesday", -1.6796421711073488),
+                                    ("week-end", -2.9789251552376097)],
+                               n = 26},
+                   koData =
+                     ClassData{prior = -1.6739764335716716, unseen = -2.995732273553991,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -0.9985288301111273),
+                                    ("hour", -0.9985288301111273)],
+                               n = 6}})]
\ No newline at end of file
diff --git a/Duckling/Ranking/Classifiers/ZH_MO.hs b/Duckling/Ranking/Classifiers/ZH_MO.hs
new file mode 100644
index 000000000..e1303e054
--- /dev/null
+++ b/Duckling/Ranking/Classifiers/ZH_MO.hs
@@ -0,0 +1,879 @@
+-- Copyright (c) 2016-present, Facebook, Inc.
+-- All rights reserved.
+--
+-- This source code is licensed under the BSD-style license found in the
+-- LICENSE file in the root directory of this source tree. An additional grant
+-- of patent rights can be found in the PATENTS file in the same directory.
+
+-----------------------------------------------------------------
+-- Auto-generated by regenClassifiers
+--
+-- DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
+--  @generated
+-----------------------------------------------------------------
+{-# LANGUAGE OverloadedStrings #-}
+module Duckling.Ranking.Classifiers.ZH_MO (classifiers) where
+import Data.String
+import Prelude
+import qualified Data.HashMap.Strict as HashMap
+import Duckling.Ranking.Types
+
+classifiers :: Classifiers
+classifiers
+  = HashMap.fromList
+      [("<time> timezone",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<time-of-day> am|pm", -0.6931471805599453),
+                                    ("hour", -0.6931471805599453)],
+                               n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Thursday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("integer (numeric)",
+        Classifier{okData =
+                     ClassData{prior = -0.5020919437972361, unseen = -3.871201010907891,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 46},
+                   koData =
+                     ClassData{prior = -0.9295359586241757,
+                               unseen = -3.4657359027997265,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 30}}),
+       ("the day before yesterday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("today",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("mm/dd",
+        Classifier{okData =
+                     ClassData{prior = -1.6094379124341003,
+                               unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
+                   koData =
+                     ClassData{prior = -0.2231435513142097, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
+       ("absorption of , after named day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.833213344056216,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day", -0.6931471805599453), ("Sunday", -0.6931471805599453)],
+                               n = 7},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("tonight",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("October",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("month (grain)",
+        Classifier{okData =
+                     ClassData{prior = -0.9808292530117262, unseen = -3.258096538021482,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 24},
+                   koData =
+                     ClassData{prior = -0.4700036292457356,
+                               unseen = -3.7376696182833684,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 40}}),
+       ("<time-of-day> o'clock",
+        Classifier{okData =
+                     ClassData{prior = -0.4418327522790392, unseen = -3.044522437723423,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -0.6931471805599453),
+                                    ("hour", -0.6931471805599453)],
+                               n = 9},
+                   koData =
+                     ClassData{prior = -1.0296194171811581,
+                               unseen = -2.5649493574615367,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -0.6931471805599453),
+                                    ("hour", -0.6931471805599453)],
+                               n = 5}}),
+       ("national day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.3025850929940455,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 8},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Wednesday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.9444389791664407,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 17},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("hour (grain)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.0910424533583156,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 20},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("intersect",
+        Classifier{okData =
+                     ClassData{prior = -0.4367176516122688, unseen = -4.624972813284271,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("children's day<part-of-day> <dim time>", -3.5165082281731497),
+                                    ("year (numeric with year symbol)<named-month> <day-of-month>",
+                                     -1.5705980791178364),
+                                    ("dayday", -1.9070703157390494),
+                                    ("hourhour", -3.005682604407159),
+                                    ("hourminute", -3.5165082281731497),
+                                    ("absorption of , after named day<named-month> <day-of-month>",
+                                     -1.9070703157390494),
+                                    ("dayminute", -3.5165082281731497),
+                                    ("tonight<time-of-day> o'clock", -3.005682604407159),
+                                    ("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
+                                     -3.5165082281731497),
+                                    ("yearday", -1.5705980791178364)],
+                               n = 42},
+                   koData =
+                     ClassData{prior = -1.0388930539664873,
+                               unseen = -4.1588830833596715,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("children's day<part-of-day> <dim time>", -2.1972245773362196),
+                                    ("dayhour", -2.5336968139574325),
+                                    ("daymonth", -2.063693184711697),
+                                    ("year (numeric with year symbol)February", -3.044522437723423),
+                                    ("<dim time> <part-of-day><time-of-day> o'clock",
+                                     -3.044522437723423),
+                                    ("hourhour", -3.044522437723423),
+                                    ("year (numeric with year symbol)March", -2.5336968139574325),
+                                    ("hourminute", -3.044522437723423),
+                                    ("yearmonth", -2.1972245773362196),
+                                    ("dayminute", -3.044522437723423),
+                                    ("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
+                                     -3.044522437723423),
+                                    ("absorption of , after named dayFebruary",
+                                     -2.063693184711697)],
+                               n = 23}}),
+       ("year (grain)",
+        Classifier{okData =
+                     ClassData{prior = -0.8209805520698302,
+                               unseen = -2.5649493574615367,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 11},
+                   koData =
+                     ClassData{prior = -0.579818495252942, unseen = -2.772588722239781,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 14}}),
+       ("Saturday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("last tuesday, last july",
+        Classifier{okData =
+                     ClassData{prior = -1.2039728043259361,
+                               unseen = -3.4965075614664802,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day", -0.9007865453381898), ("Sunday", -1.3862943611198906),
+                                    ("Tuesday", -1.6739764335716716)],
+                               n = 12},
+                   koData =
+                     ClassData{prior = -0.35667494393873245,
+                               unseen = -4.174387269895637,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -1.0233888674305223),
+                                    ("month (numeric with month symbol)", -2.367123614131617),
+                                    ("February", -3.4657359027997265),
+                                    ("hour", -1.0233888674305223), ("month", -2.2129729343043585)],
+                               n = 28}}),
+       ("next <cycle>",
+        Classifier{okData =
+                     ClassData{prior = -0.7472144018302211,
+                               unseen = -3.2188758248682006,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -1.3862943611198906),
+                                    ("month (grain)", -1.791759469228055),
+                                    ("year (grain)", -2.4849066497880004),
+                                    ("week (grain)", -1.3862943611198906),
+                                    ("year", -2.4849066497880004), ("month", -1.791759469228055)],
+                               n = 9},
+                   koData =
+                     ClassData{prior = -0.6418538861723948, unseen = -3.295836866004329,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -0.8602012652231115),
+                                    ("week (grain)", -0.8602012652231115)],
+                               n = 10}}),
+       ("last year",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("this <day-of-week>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.970291913552122,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Wednesday", -1.8718021769015913),
+                                    ("Monday", -1.8718021769015913), ("day", -0.7323678937132265),
+                                    ("Tuesday", -1.5533484457830569)],
+                               n = 24},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("yyyy-mm-dd",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("mm/dd/yyyy",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("evening|night",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Monday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.258096538021482,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 24},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("yesterday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("next year",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("hh:mm (time-of-day)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<integer> (latent time-of-day)",
+        Classifier{okData =
+                     ClassData{prior = -1.3217558399823195,
+                               unseen = -2.9444389791664407,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)", -1.2809338454620642),
+                                    ("integer (0..10)", -0.325422400434628)],
+                               n = 16},
+                   koData =
+                     ClassData{prior = -0.3101549283038396,
+                               unseen = -3.8501476017100584,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)", -2.2192034840549946),
+                                    ("integer (0..10)", -0.11506932978478723)],
+                               n = 44}}),
+       ("nth <time> of <time>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.995732273553991,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Octoberordinal (digits)Monday", -1.3350010667323402),
+                                    ("monthday", -0.7472144018302211),
+                                    ("month (numeric with month symbol)ordinal (digits)Monday",
+                                     -1.3350010667323402)],
+                               n = 8},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("month (numeric with month symbol)",
+        Classifier{okData =
+                     ClassData{prior = -0.13976194237515874,
+                               unseen = -3.7612001156935624,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)", -1.0296194171811581),
+                                    ("integer (0..10)", -0.4418327522790392)],
+                               n = 40},
+                   koData =
+                     ClassData{prior = -2.03688192726104, unseen = -2.1972245773362196,
+                               likelihoods =
+                                 HashMap.fromList [("integer (0..10)", -0.13353139262452263)],
+                               n = 6}}),
+       ("week (grain)",
+        Classifier{okData =
+                     ClassData{prior = -0.8434293836092833,
+                               unseen = -3.6635616461296463,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 37},
+                   koData =
+                     ClassData{prior = -0.5625269981428811,
+                               unseen = -3.9318256327243257,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 49}}),
+       ("valentine's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("year (numeric with year symbol)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.772588722239781,
+                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
+                               n = 14},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("now",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 10},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("numbers prefix with -, negative or minus",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
+                               n = 4}}),
+       ("Friday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("tomorrow",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("this year",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("next <day-of-week>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.1780538303479458,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Wednesday", -1.3437347467010947),
+                                    ("day", -0.7375989431307791), ("Tuesday", -1.3437347467010947)],
+                               n = 10},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Sunday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.0910424533583156,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 20},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("afternoon",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.3978952727983707,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 9},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<duration> from now",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -3.891820298110627,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.2617630984737906), ("second", -2.772588722239781),
+                                    ("day", -2.2617630984737906), ("year", -2.772588722239781),
+                                    ("<integer> <unit-of-duration>", -0.8266785731844679),
+                                    ("hour", -2.2617630984737906), ("month", -2.772588722239781),
+                                    ("minute", -2.772588722239781)],
+                               n = 20}}),
+       ("February",
+        Classifier{okData =
+                     ClassData{prior = -6.453852113757118e-2,
+                               unseen = -2.833213344056216,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 15},
+                   koData =
+                     ClassData{prior = -2.772588722239781, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
+       ("this <cycle>",
+        Classifier{okData =
+                     ClassData{prior = -1.0185695809945732,
+                               unseen = -3.4339872044851463,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -0.916290731874155),
+                                    ("year (grain)", -2.3025850929940455),
+                                    ("week (grain)", -0.916290731874155),
+                                    ("year", -2.3025850929940455)],
+                               n = 13},
+                   koData =
+                     ClassData{prior = -0.4480247225269604,
+                               unseen = -3.9318256327243257,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -0.7339691750802004),
+                                    ("week (grain)", -0.7339691750802004)],
+                               n = 23}}),
+       ("minute (grain)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.890371757896165,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 16},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<dim time> <part-of-day>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.9889840465642745,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("dayhour", -0.7514160886839211),
+                                    ("national dayevening|night", -2.871679624884012),
+                                    ("<named-month> <day-of-month>morning", -1.405342556090585),
+                                    ("children's dayafternoon", -2.871679624884012),
+                                    ("Mondaymorning", -1.7730673362159024)],
+                               n = 24},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<part-of-day> <dim time>",
+        Classifier{okData =
+                     ClassData{prior = -0.587786664902119, unseen = -3.891820298110627,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("tonight<integer> (latent time-of-day)", -2.2617630984737906),
+                                    ("hourhour", -1.1631508098056809),
+                                    ("afternoonrelative minutes after|past <integer> (hour-of-day)",
+                                     -2.0794415416798357),
+                                    ("afternoon<time-of-day> o'clock", -2.4849066497880004),
+                                    ("hourminute", -1.9252908618525775),
+                                    ("afternoon<integer> (latent time-of-day)",
+                                     -2.4849066497880004),
+                                    ("afternoonhh:mm (time-of-day)", -3.1780538303479458),
+                                    ("tonight<time-of-day> o'clock", -2.2617630984737906)],
+                               n = 20},
+                   koData =
+                     ClassData{prior = -0.8109302162163288, unseen = -3.713572066704308,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("hourhour", -1.2039728043259361),
+                                    ("afternoonrelative minutes after|past <integer> (hour-of-day)",
+                                     -1.8971199848858813),
+                                    ("afternoon<time-of-day> o'clock", -1.8971199848858813),
+                                    ("hourminute", -1.8971199848858813),
+                                    ("afternoon<integer> (latent time-of-day)",
+                                     -1.742969305058623)],
+                               n = 16}}),
+       ("<integer> <unit-of-duration>",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -2.833213344056216,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -5.877735781779639,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.6560549059838294),
+                                    ("integer (0..10)month (grain)", -2.068268241081711),
+                                    ("integer (0..10)hour (grain)", -2.8304082931286074),
+                                    ("second", -3.235873401236772),
+                                    ("integer (0..10)day (grain)", -3.0417173867958143),
+                                    ("integer (0..10)year (grain)", -3.572345637857985),
+                                    ("integer (numeric)year (grain)", -3.1668805297498204),
+                                    ("integer (0..10)second (grain)", -3.235873401236772),
+                                    ("day", -3.0417173867958143), ("year", -2.6968769005040847),
+                                    ("integer (0..10)minute (grain)", -3.0417173867958143),
+                                    ("hour", -2.8304082931286074),
+                                    ("integer (0..10)week (grain)", -2.6560549059838294),
+                                    ("month", -1.7973932869463112),
+                                    ("integer (numeric)month (grain)", -3.1668805297498204),
+                                    ("minute", -3.0417173867958143)],
+                               n = 170}}),
+       ("integer (11..19)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [("integer (0..10)", 0.0)], n = 13},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<time-of-day> am|pm",
+        Classifier{okData =
+                     ClassData{prior = -0.4700036292457356, unseen = -2.70805020110221,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("hh:mm (time-of-day)", -1.252762968495368),
+                                    ("<integer> (latent time-of-day)", -1.540445040947149),
+                                    ("hour", -1.540445040947149), ("minute", -1.252762968495368)],
+                               n = 5},
+                   koData =
+                     ClassData{prior = -0.9808292530117262,
+                               unseen = -2.3978952727983707,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -0.916290731874155),
+                                    ("hour", -0.916290731874155)],
+                               n = 3}}),
+       ("relative minutes after|past <integer> (hour-of-day)",
+        Classifier{okData =
+                     ClassData{prior = -0.6931471805599453, unseen = -2.639057329615259,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)integer (11..19)",
+                                     -0.7731898882334817),
+                                    ("hour", -0.7731898882334817)],
+                               n = 5},
+                   koData =
+                     ClassData{prior = -0.6931471805599453, unseen = -2.639057329615259,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)integer (0..10)",
+                                     -0.7731898882334817),
+                                    ("hour", -0.7731898882334817)],
+                               n = 5}}),
+       ("army's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("intersect by \",\"",
+        Classifier{okData =
+                     ClassData{prior = -0.40546510810816444,
+                               unseen = -3.4965075614664802,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Sunday<named-month> <day-of-month>", -0.7576857016975165),
+                                    ("dayday", -0.7576857016975165)],
+                               n = 14},
+                   koData =
+                     ClassData{prior = -1.0986122886681098,
+                               unseen = -2.9444389791664407,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("daymonth", -0.8109302162163288),
+                                    ("SundayFebruary", -0.8109302162163288)],
+                               n = 7}}),
+       ("second (grain)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 13},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<duration> ago",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -3.891820298110627,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.2617630984737906), ("second", -2.772588722239781),
+                                    ("day", -2.2617630984737906), ("year", -2.772588722239781),
+                                    ("<integer> <unit-of-duration>", -0.8266785731844679),
+                                    ("hour", -2.2617630984737906), ("month", -2.772588722239781),
+                                    ("minute", -2.772588722239781)],
+                               n = 20}}),
+       ("last <time>",
+        Classifier{okData =
+                     ClassData{prior = -1.2039728043259361,
+                               unseen = -3.4965075614664802,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day", -0.9007865453381898), ("Sunday", -1.3862943611198906),
+                                    ("Tuesday", -1.6739764335716716)],
+                               n = 12},
+                   koData =
+                     ClassData{prior = -0.35667494393873245,
+                               unseen = -4.174387269895637,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -1.0233888674305223),
+                                    ("month (numeric with month symbol)", -2.367123614131617),
+                                    ("February", -3.4657359027997265),
+                                    ("hour", -1.0233888674305223), ("month", -2.2129729343043585)],
+                               n = 28}}),
+       ("March",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 7},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("the day after tomorrow",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("next <time>",
+        Classifier{okData =
+                     ClassData{prior = -1.5260563034950494, unseen = -2.890371757896165,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day", -1.041453874828161), ("Tuesday", -1.041453874828161)],
+                               n = 5},
+                   koData =
+                     ClassData{prior = -0.24512245803298496,
+                               unseen = -3.784189633918261,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Wednesday", -1.9694406464655074),
+                                    ("<integer> (latent time-of-day)", -1.1962507582320256),
+                                    ("month (numeric with month symbol)", -3.068052935133617),
+                                    ("day", -1.9694406464655074), ("hour", -1.1962507582320256),
+                                    ("month", -3.068052935133617)],
+                               n = 18}}),
+       ("last <cycle>",
+        Classifier{okData =
+                     ClassData{prior = -0.8472978603872037,
+                               unseen = -3.2188758248682006,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -1.3862943611198906),
+                                    ("month (grain)", -1.791759469228055),
+                                    ("year (grain)", -2.4849066497880004),
+                                    ("week (grain)", -1.3862943611198906),
+                                    ("year", -2.4849066497880004), ("month", -1.791759469228055)],
+                               n = 9},
+                   koData =
+                     ClassData{prior = -0.5596157879354228,
+                               unseen = -3.4339872044851463,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -0.8362480242006186),
+                                    ("week (grain)", -0.8362480242006186)],
+                               n = 12}}),
+       ("christmas",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("new year's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("next n <cycle>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -4.59511985013459,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.3877429013343523),
+                                    ("integer (0..10)month (grain)", -2.793208009442517),
+                                    ("integer (0..10)hour (grain)", -2.3877429013343523),
+                                    ("second", -2.793208009442517),
+                                    ("integer (0..10)day (grain)", -2.505525936990736),
+                                    ("integer (0..10)year (grain)", -3.1986731175506815),
+                                    ("integer (0..10)second (grain)", -2.793208009442517),
+                                    ("day", -2.505525936990736), ("year", -3.1986731175506815),
+                                    ("integer (0..10)minute (grain)", -2.639057329615259),
+                                    ("hour", -2.3877429013343523),
+                                    ("integer (0..10)week (grain)", -2.3877429013343523),
+                                    ("month", -2.793208009442517), ("minute", -2.639057329615259)],
+                               n = 42},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Tuesday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.295836866004329,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 25},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("children's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<named-month> <day-of-month>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -4.8283137373023015,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Marchinteger (0..10)", -3.028522096376982),
+                                    ("Februaryinteger (11..19)", -2.6230569882688175),
+                                    ("month (numeric with month symbol)integer (11..19)",
+                                     -2.6230569882688175),
+                                    ("Marchinteger (numeric)", -3.721669276936927),
+                                    ("month (numeric with month symbol)integer (numeric)",
+                                     -2.1122313645028266),
+                                    ("Februaryinteger (0..10)", -2.740840023925201),
+                                    ("month", -0.7427441216993174),
+                                    ("month (numeric with month symbol)integer (0..10)",
+                                     -2.1122313645028266)],
+                               n = 58},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("integer (0..10)",
+        Classifier{okData =
+                     ClassData{prior = -0.4540728071735412, unseen = -5.170483995038151,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 174},
+                   koData =
+                     ClassData{prior = -1.007957920399979, unseen = -4.624972813284271,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 100}}),
+       ("last n <cycle>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -4.61512051684126,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.995732273553991),
+                                    ("integer (0..10)month (grain)", -2.120263536200091),
+                                    ("integer (0..10)hour (grain)", -2.4079456086518722),
+                                    ("second", -2.659260036932778),
+                                    ("integer (0..10)day (grain)", -2.995732273553991),
+                                    ("integer (0..10)year (grain)", -3.506557897319982),
+                                    ("integer (0..10)second (grain)", -2.659260036932778),
+                                    ("day", -2.995732273553991), ("year", -3.506557897319982),
+                                    ("integer (0..10)minute (grain)", -2.4079456086518722),
+                                    ("hour", -2.4079456086518722),
+                                    ("integer (0..10)week (grain)", -2.995732273553991),
+                                    ("month", -2.120263536200091), ("minute", -2.4079456086518722)],
+                               n = 43},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("ordinal (digits)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("integer (0..10)", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("n <cycle> last",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -4.007333185232471,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.379546134130174),
+                                    ("integer (0..10)month (grain)", -2.890371757896165),
+                                    ("integer (0..10)hour (grain)", -2.379546134130174),
+                                    ("second", -2.890371757896165),
+                                    ("integer (0..10)day (grain)", -2.379546134130174),
+                                    ("integer (0..10)year (grain)", -2.890371757896165),
+                                    ("integer (0..10)second (grain)", -2.890371757896165),
+                                    ("day", -2.379546134130174), ("year", -2.890371757896165),
+                                    ("integer (0..10)minute (grain)", -2.890371757896165),
+                                    ("hour", -2.379546134130174),
+                                    ("integer (0..10)week (grain)", -2.379546134130174),
+                                    ("month", -2.890371757896165), ("minute", -2.890371757896165)],
+                               n = 20},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("morning",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.890371757896165,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 16},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("week-end",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("day (grain)",
+        Classifier{okData =
+                     ClassData{prior = -6.453852113757118e-2,
+                               unseen = -2.833213344056216,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 15},
+                   koData =
+                     ClassData{prior = -2.772588722239781, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
+       ("labor day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("women's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("this <time>",
+        Classifier{okData =
+                     ClassData{prior = -0.2076393647782445, unseen = -4.0943445622221,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Wednesday", -1.9980959022258835),
+                                    ("Monday", -1.9980959022258835), ("day", -0.8586616190375187),
+                                    ("hour", -2.9789251552376097), ("Tuesday", -1.6796421711073488),
+                                    ("week-end", -2.9789251552376097)],
+                               n = 26},
+                   koData =
+                     ClassData{prior = -1.6739764335716716, unseen = -2.995732273553991,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -0.9985288301111273),
+                                    ("hour", -0.9985288301111273)],
+                               n = 6}})]
\ No newline at end of file
diff --git a/Duckling/Ranking/Classifiers/ZH_TW.hs b/Duckling/Ranking/Classifiers/ZH_TW.hs
new file mode 100644
index 000000000..1c477cceb
--- /dev/null
+++ b/Duckling/Ranking/Classifiers/ZH_TW.hs
@@ -0,0 +1,879 @@
+-- Copyright (c) 2016-present, Facebook, Inc.
+-- All rights reserved.
+--
+-- This source code is licensed under the BSD-style license found in the
+-- LICENSE file in the root directory of this source tree. An additional grant
+-- of patent rights can be found in the PATENTS file in the same directory.
+
+-----------------------------------------------------------------
+-- Auto-generated by regenClassifiers
+--
+-- DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
+--  @generated
+-----------------------------------------------------------------
+{-# LANGUAGE OverloadedStrings #-}
+module Duckling.Ranking.Classifiers.ZH_TW (classifiers) where
+import Data.String
+import Prelude
+import qualified Data.HashMap.Strict as HashMap
+import Duckling.Ranking.Types
+
+classifiers :: Classifiers
+classifiers
+  = HashMap.fromList
+      [("<time> timezone",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<time-of-day> am|pm", -0.6931471805599453),
+                                    ("hour", -0.6931471805599453)],
+                               n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Thursday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("integer (numeric)",
+        Classifier{okData =
+                     ClassData{prior = -0.5020919437972361, unseen = -3.871201010907891,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 46},
+                   koData =
+                     ClassData{prior = -0.9295359586241757,
+                               unseen = -3.4657359027997265,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 30}}),
+       ("the day before yesterday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("today",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("mm/dd",
+        Classifier{okData =
+                     ClassData{prior = -1.6094379124341003,
+                               unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
+                   koData =
+                     ClassData{prior = -0.2231435513142097, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
+       ("absorption of , after named day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.833213344056216,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day", -0.6931471805599453), ("Sunday", -0.6931471805599453)],
+                               n = 7},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("tonight",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("October",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("month (grain)",
+        Classifier{okData =
+                     ClassData{prior = -0.9808292530117262, unseen = -3.258096538021482,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 24},
+                   koData =
+                     ClassData{prior = -0.4700036292457356,
+                               unseen = -3.7376696182833684,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 40}}),
+       ("<time-of-day> o'clock",
+        Classifier{okData =
+                     ClassData{prior = -0.4418327522790392, unseen = -3.044522437723423,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -0.6931471805599453),
+                                    ("hour", -0.6931471805599453)],
+                               n = 9},
+                   koData =
+                     ClassData{prior = -1.0296194171811581,
+                               unseen = -2.5649493574615367,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -0.6931471805599453),
+                                    ("hour", -0.6931471805599453)],
+                               n = 5}}),
+       ("national day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.3025850929940455,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 8},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Wednesday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.9444389791664407,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 17},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("hour (grain)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.0910424533583156,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 20},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("intersect",
+        Classifier{okData =
+                     ClassData{prior = -0.4367176516122688, unseen = -4.624972813284271,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("children's day<part-of-day> <dim time>", -3.5165082281731497),
+                                    ("year (numeric with year symbol)<named-month> <day-of-month>",
+                                     -1.5705980791178364),
+                                    ("dayday", -1.9070703157390494),
+                                    ("hourhour", -3.005682604407159),
+                                    ("hourminute", -3.5165082281731497),
+                                    ("absorption of , after named day<named-month> <day-of-month>",
+                                     -1.9070703157390494),
+                                    ("dayminute", -3.5165082281731497),
+                                    ("tonight<time-of-day> o'clock", -3.005682604407159),
+                                    ("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
+                                     -3.5165082281731497),
+                                    ("yearday", -1.5705980791178364)],
+                               n = 42},
+                   koData =
+                     ClassData{prior = -1.0388930539664873,
+                               unseen = -4.1588830833596715,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("children's day<part-of-day> <dim time>", -2.1972245773362196),
+                                    ("dayhour", -2.5336968139574325),
+                                    ("daymonth", -2.063693184711697),
+                                    ("year (numeric with year symbol)February", -3.044522437723423),
+                                    ("<dim time> <part-of-day><time-of-day> o'clock",
+                                     -3.044522437723423),
+                                    ("hourhour", -3.044522437723423),
+                                    ("year (numeric with year symbol)March", -2.5336968139574325),
+                                    ("hourminute", -3.044522437723423),
+                                    ("yearmonth", -2.1972245773362196),
+                                    ("dayminute", -3.044522437723423),
+                                    ("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
+                                     -3.044522437723423),
+                                    ("absorption of , after named dayFebruary",
+                                     -2.063693184711697)],
+                               n = 23}}),
+       ("year (grain)",
+        Classifier{okData =
+                     ClassData{prior = -0.8209805520698302,
+                               unseen = -2.5649493574615367,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 11},
+                   koData =
+                     ClassData{prior = -0.579818495252942, unseen = -2.772588722239781,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 14}}),
+       ("Saturday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("last tuesday, last july",
+        Classifier{okData =
+                     ClassData{prior = -1.2039728043259361,
+                               unseen = -3.4965075614664802,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day", -0.9007865453381898), ("Sunday", -1.3862943611198906),
+                                    ("Tuesday", -1.6739764335716716)],
+                               n = 12},
+                   koData =
+                     ClassData{prior = -0.35667494393873245,
+                               unseen = -4.174387269895637,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -1.0233888674305223),
+                                    ("month (numeric with month symbol)", -2.367123614131617),
+                                    ("February", -3.4657359027997265),
+                                    ("hour", -1.0233888674305223), ("month", -2.2129729343043585)],
+                               n = 28}}),
+       ("next <cycle>",
+        Classifier{okData =
+                     ClassData{prior = -0.7472144018302211,
+                               unseen = -3.2188758248682006,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -1.3862943611198906),
+                                    ("month (grain)", -1.791759469228055),
+                                    ("year (grain)", -2.4849066497880004),
+                                    ("week (grain)", -1.3862943611198906),
+                                    ("year", -2.4849066497880004), ("month", -1.791759469228055)],
+                               n = 9},
+                   koData =
+                     ClassData{prior = -0.6418538861723948, unseen = -3.295836866004329,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -0.8602012652231115),
+                                    ("week (grain)", -0.8602012652231115)],
+                               n = 10}}),
+       ("last year",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("this <day-of-week>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.970291913552122,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Wednesday", -1.8718021769015913),
+                                    ("Monday", -1.8718021769015913), ("day", -0.7323678937132265),
+                                    ("Tuesday", -1.5533484457830569)],
+                               n = 24},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("yyyy-mm-dd",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("mm/dd/yyyy",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("evening|night",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Monday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.258096538021482,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 24},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("yesterday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("next year",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("hh:mm (time-of-day)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<integer> (latent time-of-day)",
+        Classifier{okData =
+                     ClassData{prior = -1.3217558399823195,
+                               unseen = -2.9444389791664407,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)", -1.2809338454620642),
+                                    ("integer (0..10)", -0.325422400434628)],
+                               n = 16},
+                   koData =
+                     ClassData{prior = -0.3101549283038396,
+                               unseen = -3.8501476017100584,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)", -2.2192034840549946),
+                                    ("integer (0..10)", -0.11506932978478723)],
+                               n = 44}}),
+       ("nth <time> of <time>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.995732273553991,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Octoberordinal (digits)Monday", -1.3350010667323402),
+                                    ("monthday", -0.7472144018302211),
+                                    ("month (numeric with month symbol)ordinal (digits)Monday",
+                                     -1.3350010667323402)],
+                               n = 8},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("month (numeric with month symbol)",
+        Classifier{okData =
+                     ClassData{prior = -0.13976194237515874,
+                               unseen = -3.7612001156935624,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)", -1.0296194171811581),
+                                    ("integer (0..10)", -0.4418327522790392)],
+                               n = 40},
+                   koData =
+                     ClassData{prior = -2.03688192726104, unseen = -2.1972245773362196,
+                               likelihoods =
+                                 HashMap.fromList [("integer (0..10)", -0.13353139262452263)],
+                               n = 6}}),
+       ("week (grain)",
+        Classifier{okData =
+                     ClassData{prior = -0.8434293836092833,
+                               unseen = -3.6635616461296463,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 37},
+                   koData =
+                     ClassData{prior = -0.5625269981428811,
+                               unseen = -3.9318256327243257,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 49}}),
+       ("valentine's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("year (numeric with year symbol)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.772588722239781,
+                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
+                               n = 14},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("now",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 10},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("numbers prefix with -, negative or minus",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
+                               n = 4}}),
+       ("Friday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("tomorrow",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("this year",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("next <day-of-week>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.1780538303479458,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Wednesday", -1.3437347467010947),
+                                    ("day", -0.7375989431307791), ("Tuesday", -1.3437347467010947)],
+                               n = 10},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Sunday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.0910424533583156,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 20},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("afternoon",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.3978952727983707,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 9},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<duration> from now",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -3.891820298110627,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.2617630984737906), ("second", -2.772588722239781),
+                                    ("day", -2.2617630984737906), ("year", -2.772588722239781),
+                                    ("<integer> <unit-of-duration>", -0.8266785731844679),
+                                    ("hour", -2.2617630984737906), ("month", -2.772588722239781),
+                                    ("minute", -2.772588722239781)],
+                               n = 20}}),
+       ("February",
+        Classifier{okData =
+                     ClassData{prior = -6.453852113757118e-2,
+                               unseen = -2.833213344056216,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 15},
+                   koData =
+                     ClassData{prior = -2.772588722239781, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
+       ("this <cycle>",
+        Classifier{okData =
+                     ClassData{prior = -1.0185695809945732,
+                               unseen = -3.4339872044851463,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -0.916290731874155),
+                                    ("year (grain)", -2.3025850929940455),
+                                    ("week (grain)", -0.916290731874155),
+                                    ("year", -2.3025850929940455)],
+                               n = 13},
+                   koData =
+                     ClassData{prior = -0.4480247225269604,
+                               unseen = -3.9318256327243257,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -0.7339691750802004),
+                                    ("week (grain)", -0.7339691750802004)],
+                               n = 23}}),
+       ("minute (grain)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.890371757896165,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 16},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<dim time> <part-of-day>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.9889840465642745,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("dayhour", -0.7514160886839211),
+                                    ("national dayevening|night", -2.871679624884012),
+                                    ("<named-month> <day-of-month>morning", -1.405342556090585),
+                                    ("children's dayafternoon", -2.871679624884012),
+                                    ("Mondaymorning", -1.7730673362159024)],
+                               n = 24},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<part-of-day> <dim time>",
+        Classifier{okData =
+                     ClassData{prior = -0.587786664902119, unseen = -3.891820298110627,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("tonight<integer> (latent time-of-day)", -2.2617630984737906),
+                                    ("hourhour", -1.1631508098056809),
+                                    ("afternoonrelative minutes after|past <integer> (hour-of-day)",
+                                     -2.0794415416798357),
+                                    ("afternoon<time-of-day> o'clock", -2.4849066497880004),
+                                    ("hourminute", -1.9252908618525775),
+                                    ("afternoon<integer> (latent time-of-day)",
+                                     -2.4849066497880004),
+                                    ("afternoonhh:mm (time-of-day)", -3.1780538303479458),
+                                    ("tonight<time-of-day> o'clock", -2.2617630984737906)],
+                               n = 20},
+                   koData =
+                     ClassData{prior = -0.8109302162163288, unseen = -3.713572066704308,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("hourhour", -1.2039728043259361),
+                                    ("afternoonrelative minutes after|past <integer> (hour-of-day)",
+                                     -1.8971199848858813),
+                                    ("afternoon<time-of-day> o'clock", -1.8971199848858813),
+                                    ("hourminute", -1.8971199848858813),
+                                    ("afternoon<integer> (latent time-of-day)",
+                                     -1.742969305058623)],
+                               n = 16}}),
+       ("<integer> <unit-of-duration>",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -2.833213344056216,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -5.877735781779639,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.6560549059838294),
+                                    ("integer (0..10)month (grain)", -2.068268241081711),
+                                    ("integer (0..10)hour (grain)", -2.8304082931286074),
+                                    ("second", -3.235873401236772),
+                                    ("integer (0..10)day (grain)", -3.0417173867958143),
+                                    ("integer (0..10)year (grain)", -3.572345637857985),
+                                    ("integer (numeric)year (grain)", -3.1668805297498204),
+                                    ("integer (0..10)second (grain)", -3.235873401236772),
+                                    ("day", -3.0417173867958143), ("year", -2.6968769005040847),
+                                    ("integer (0..10)minute (grain)", -3.0417173867958143),
+                                    ("hour", -2.8304082931286074),
+                                    ("integer (0..10)week (grain)", -2.6560549059838294),
+                                    ("month", -1.7973932869463112),
+                                    ("integer (numeric)month (grain)", -3.1668805297498204),
+                                    ("minute", -3.0417173867958143)],
+                               n = 170}}),
+       ("integer (11..19)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [("integer (0..10)", 0.0)], n = 13},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<time-of-day> am|pm",
+        Classifier{okData =
+                     ClassData{prior = -0.4700036292457356, unseen = -2.70805020110221,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("hh:mm (time-of-day)", -1.252762968495368),
+                                    ("<integer> (latent time-of-day)", -1.540445040947149),
+                                    ("hour", -1.540445040947149), ("minute", -1.252762968495368)],
+                               n = 5},
+                   koData =
+                     ClassData{prior = -0.9808292530117262,
+                               unseen = -2.3978952727983707,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -0.916290731874155),
+                                    ("hour", -0.916290731874155)],
+                               n = 3}}),
+       ("relative minutes after|past <integer> (hour-of-day)",
+        Classifier{okData =
+                     ClassData{prior = -0.6931471805599453, unseen = -2.639057329615259,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)integer (11..19)",
+                                     -0.7731898882334817),
+                                    ("hour", -0.7731898882334817)],
+                               n = 5},
+                   koData =
+                     ClassData{prior = -0.6931471805599453, unseen = -2.639057329615259,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)integer (0..10)",
+                                     -0.7731898882334817),
+                                    ("hour", -0.7731898882334817)],
+                               n = 5}}),
+       ("army's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("intersect by \",\"",
+        Classifier{okData =
+                     ClassData{prior = -0.40546510810816444,
+                               unseen = -3.4965075614664802,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Sunday<named-month> <day-of-month>", -0.7576857016975165),
+                                    ("dayday", -0.7576857016975165)],
+                               n = 14},
+                   koData =
+                     ClassData{prior = -1.0986122886681098,
+                               unseen = -2.9444389791664407,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("daymonth", -0.8109302162163288),
+                                    ("SundayFebruary", -0.8109302162163288)],
+                               n = 7}}),
+       ("second (grain)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 13},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<duration> ago",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -3.891820298110627,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.2617630984737906), ("second", -2.772588722239781),
+                                    ("day", -2.2617630984737906), ("year", -2.772588722239781),
+                                    ("<integer> <unit-of-duration>", -0.8266785731844679),
+                                    ("hour", -2.2617630984737906), ("month", -2.772588722239781),
+                                    ("minute", -2.772588722239781)],
+                               n = 20}}),
+       ("last <time>",
+        Classifier{okData =
+                     ClassData{prior = -1.2039728043259361,
+                               unseen = -3.4965075614664802,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day", -0.9007865453381898), ("Sunday", -1.3862943611198906),
+                                    ("Tuesday", -1.6739764335716716)],
+                               n = 12},
+                   koData =
+                     ClassData{prior = -0.35667494393873245,
+                               unseen = -4.174387269895637,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -1.0233888674305223),
+                                    ("month (numeric with month symbol)", -2.367123614131617),
+                                    ("February", -3.4657359027997265),
+                                    ("hour", -1.0233888674305223), ("month", -2.2129729343043585)],
+                               n = 28}}),
+       ("March",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 7},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("the day after tomorrow",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("next <time>",
+        Classifier{okData =
+                     ClassData{prior = -1.5260563034950494, unseen = -2.890371757896165,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day", -1.041453874828161), ("Tuesday", -1.041453874828161)],
+                               n = 5},
+                   koData =
+                     ClassData{prior = -0.24512245803298496,
+                               unseen = -3.784189633918261,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Wednesday", -1.9694406464655074),
+                                    ("<integer> (latent time-of-day)", -1.1962507582320256),
+                                    ("month (numeric with month symbol)", -3.068052935133617),
+                                    ("day", -1.9694406464655074), ("hour", -1.1962507582320256),
+                                    ("month", -3.068052935133617)],
+                               n = 18}}),
+       ("last <cycle>",
+        Classifier{okData =
+                     ClassData{prior = -0.8472978603872037,
+                               unseen = -3.2188758248682006,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -1.3862943611198906),
+                                    ("month (grain)", -1.791759469228055),
+                                    ("year (grain)", -2.4849066497880004),
+                                    ("week (grain)", -1.3862943611198906),
+                                    ("year", -2.4849066497880004), ("month", -1.791759469228055)],
+                               n = 9},
+                   koData =
+                     ClassData{prior = -0.5596157879354228,
+                               unseen = -3.4339872044851463,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -0.8362480242006186),
+                                    ("week (grain)", -0.8362480242006186)],
+                               n = 12}}),
+       ("christmas",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("new year's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("next n <cycle>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -4.59511985013459,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.3877429013343523),
+                                    ("integer (0..10)month (grain)", -2.793208009442517),
+                                    ("integer (0..10)hour (grain)", -2.3877429013343523),
+                                    ("second", -2.793208009442517),
+                                    ("integer (0..10)day (grain)", -2.505525936990736),
+                                    ("integer (0..10)year (grain)", -3.1986731175506815),
+                                    ("integer (0..10)second (grain)", -2.793208009442517),
+                                    ("day", -2.505525936990736), ("year", -3.1986731175506815),
+                                    ("integer (0..10)minute (grain)", -2.639057329615259),
+                                    ("hour", -2.3877429013343523),
+                                    ("integer (0..10)week (grain)", -2.3877429013343523),
+                                    ("month", -2.793208009442517), ("minute", -2.639057329615259)],
+                               n = 42},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Tuesday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.295836866004329,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 25},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("children's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<named-month> <day-of-month>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -4.8283137373023015,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Marchinteger (0..10)", -3.028522096376982),
+                                    ("Februaryinteger (11..19)", -2.6230569882688175),
+                                    ("month (numeric with month symbol)integer (11..19)",
+                                     -2.6230569882688175),
+                                    ("Marchinteger (numeric)", -3.721669276936927),
+                                    ("month (numeric with month symbol)integer (numeric)",
+                                     -2.1122313645028266),
+                                    ("Februaryinteger (0..10)", -2.740840023925201),
+                                    ("month", -0.7427441216993174),
+                                    ("month (numeric with month symbol)integer (0..10)",
+                                     -2.1122313645028266)],
+                               n = 58},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("integer (0..10)",
+        Classifier{okData =
+                     ClassData{prior = -0.4540728071735412, unseen = -5.170483995038151,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 174},
+                   koData =
+                     ClassData{prior = -1.007957920399979, unseen = -4.624972813284271,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 100}}),
+       ("last n <cycle>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -4.61512051684126,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.995732273553991),
+                                    ("integer (0..10)month (grain)", -2.120263536200091),
+                                    ("integer (0..10)hour (grain)", -2.4079456086518722),
+                                    ("second", -2.659260036932778),
+                                    ("integer (0..10)day (grain)", -2.995732273553991),
+                                    ("integer (0..10)year (grain)", -3.506557897319982),
+                                    ("integer (0..10)second (grain)", -2.659260036932778),
+                                    ("day", -2.995732273553991), ("year", -3.506557897319982),
+                                    ("integer (0..10)minute (grain)", -2.4079456086518722),
+                                    ("hour", -2.4079456086518722),
+                                    ("integer (0..10)week (grain)", -2.995732273553991),
+                                    ("month", -2.120263536200091), ("minute", -2.4079456086518722)],
+                               n = 43},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("ordinal (digits)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("integer (0..10)", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("n <cycle> last",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -4.007333185232471,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.379546134130174),
+                                    ("integer (0..10)month (grain)", -2.890371757896165),
+                                    ("integer (0..10)hour (grain)", -2.379546134130174),
+                                    ("second", -2.890371757896165),
+                                    ("integer (0..10)day (grain)", -2.379546134130174),
+                                    ("integer (0..10)year (grain)", -2.890371757896165),
+                                    ("integer (0..10)second (grain)", -2.890371757896165),
+                                    ("day", -2.379546134130174), ("year", -2.890371757896165),
+                                    ("integer (0..10)minute (grain)", -2.890371757896165),
+                                    ("hour", -2.379546134130174),
+                                    ("integer (0..10)week (grain)", -2.379546134130174),
+                                    ("month", -2.890371757896165), ("minute", -2.890371757896165)],
+                               n = 20},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("morning",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.890371757896165,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 16},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("week-end",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("day (grain)",
+        Classifier{okData =
+                     ClassData{prior = -6.453852113757118e-2,
+                               unseen = -2.833213344056216,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 15},
+                   koData =
+                     ClassData{prior = -2.772588722239781, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
+       ("labor day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("women's day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("this <time>",
+        Classifier{okData =
+                     ClassData{prior = -0.2076393647782445, unseen = -4.0943445622221,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Wednesday", -1.9980959022258835),
+                                    ("Monday", -1.9980959022258835), ("day", -0.8586616190375187),
+                                    ("hour", -2.9789251552376097), ("Tuesday", -1.6796421711073488),
+                                    ("week-end", -2.9789251552376097)],
+                               n = 26},
+                   koData =
+                     ClassData{prior = -1.6739764335716716, unseen = -2.995732273553991,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> (latent time-of-day)", -0.9985288301111273),
+                                    ("hour", -0.9985288301111273)],
+                               n = 6}})]
\ No newline at end of file
diff --git a/Duckling/Ranking/Classifiers/ZH_XX.hs b/Duckling/Ranking/Classifiers/ZH_XX.hs
index a81da83e0..4ad436062 100644
--- a/Duckling/Ranking/Classifiers/ZH_XX.hs
+++ b/Duckling/Ranking/Classifiers/ZH_XX.hs
@@ -117,13 +117,6 @@ classifiers
                                    [("<integer> (latent time-of-day)", -0.6931471805599453),
                                     ("hour", -0.6931471805599453)],
                                n = 5}}),
-       ("national day",
-        Classifier{okData =
-                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
-                               likelihoods = HashMap.fromList [("", 0.0)], n = 6},
-                   koData =
-                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
-                               likelihoods = HashMap.fromList [], n = 0}}),
        ("Wednesday",
         Classifier{okData =
                      ClassData{prior = 0.0, unseen = -2.9444389791664407,
@@ -264,13 +257,6 @@ classifiers
                    koData =
                      ClassData{prior = -infinity, unseen = -0.6931471805599453,
                                likelihoods = HashMap.fromList [], n = 0}}),
-       ("evening|night",
-        Classifier{okData =
-                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
-                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
-                   koData =
-                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
-                               likelihoods = HashMap.fromList [], n = 0}}),
        ("Monday",
         Classifier{okData =
                      ClassData{prior = 0.0, unseen = -3.258096538021482,
@@ -478,17 +464,16 @@ classifiers
                                likelihoods = HashMap.fromList [], n = 0}}),
        ("<dim time> <part-of-day>",
         Classifier{okData =
-                     ClassData{prior = 0.0, unseen = -3.9889840465642745,
+                     ClassData{prior = 0.0, unseen = -3.891820298110627,
                                likelihoods =
                                  HashMap.fromList
-                                   [("dayhour", -0.7514160886839211),
-                                    ("national dayevening|night", -2.871679624884012),
-                                    ("<named-month> <day-of-month>morning", -1.405342556090585),
-                                    ("children's dayafternoon", -2.871679624884012),
-                                    ("Mondaymorning", -1.7730673362159024)],
-                               n = 24},
+                                   [("dayhour", -0.7357067949787413),
+                                    ("<named-month> <day-of-month>morning", -1.3062516534463542),
+                                    ("children's dayafternoon", -2.772588722239781),
+                                    ("Mondaymorning", -1.6739764335716716)],
+                               n = 22},
                    koData =
-                     ClassData{prior = -infinity, unseen = -1.791759469228055,
+                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                                likelihoods = HashMap.fromList [], n = 0}}),
        ("<part-of-day> <dim time>",
         Classifier{okData =
diff --git a/Duckling/Rules/EN.hs b/Duckling/Rules/EN.hs
index 68a3a5c5f..007eef78a 100644
--- a/Duckling/Rules/EN.hs
+++ b/Duckling/Rules/EN.hs
@@ -44,7 +44,7 @@ defaultRules dim = langRules dim
 localeRules :: Region -> Some Dimension -> [Rule]
 localeRules GB (This Time) = TimeGB.rules
 localeRules US (This Time) = TimeUS.rules
-localeRules _ _ = []
+localeRules _ _            = []
 
 langRules :: Some Dimension -> [Rule]
 langRules (This AmountOfMoney) = AmountOfMoney.rules
diff --git a/Duckling/Rules/ZH.hs b/Duckling/Rules/ZH.hs
index 8db43cf4e..35649f2bc 100644
--- a/Duckling/Rules/ZH.hs
+++ b/Duckling/Rules/ZH.hs
@@ -22,13 +22,21 @@ import qualified Duckling.Numeral.ZH.Rules as Numeral
 import qualified Duckling.Ordinal.ZH.Rules as Ordinal
 import qualified Duckling.Temperature.ZH.Rules as Temperature
 import qualified Duckling.Time.ZH.Rules as Time
+import qualified Duckling.Time.ZH.CN.Rules as TimeCN
+import qualified Duckling.Time.ZH.HK.Rules as TimeHK
+import qualified Duckling.Time.ZH.MO.Rules as TimeMO
+import qualified Duckling.Time.ZH.TW.Rules as TimeTW
 import qualified Duckling.TimeGrain.ZH.Rules as TimeGrain
 
 defaultRules :: Some Dimension -> [Rule]
 defaultRules = langRules
 
 localeRules :: Region -> Some Dimension -> [Rule]
-localeRules _ _ = []
+localeRules CN (This Time) = TimeCN.rules
+localeRules HK (This Time) = TimeHK.rules
+localeRules MO (This Time) = TimeMO.rules
+localeRules TW (This Time) = TimeTW.rules
+localeRules _ _            = []
 
 langRules :: Some Dimension -> [Rule]
 langRules (This AmountOfMoney) = []
diff --git a/Duckling/Time/ZH/CN/Corpus.hs b/Duckling/Time/ZH/CN/Corpus.hs
new file mode 100644
index 000000000..c549bd3c6
--- /dev/null
+++ b/Duckling/Time/ZH/CN/Corpus.hs
@@ -0,0 +1,37 @@
+-- Copyright (c) 2016-present, Facebook, Inc.
+-- All rights reserved.
+--
+-- This source code is licensed under the BSD-style license found in the
+-- LICENSE file in the root directory of this source tree. An additional grant
+-- of patent rights can be found in the PATENTS file in the same directory.
+
+
+{-# LANGUAGE OverloadedStrings #-}
+
+module Duckling.Time.ZH.CN.Corpus
+  ( allExamples
+  ) where
+
+import Data.String
+import Prelude
+
+import Duckling.Testing.Types hiding (examples)
+import Duckling.Time.Corpus
+import Duckling.Time.Types hiding (Month)
+import Duckling.TimeGrain.Types hiding (add)
+
+allExamples :: [Example]
+allExamples = concat
+  [ examples (datetime (2013, 10, 1, 0, 0, 0) Day)
+             [ "国庆"
+             , "國慶"
+             , "国庆节"
+             , "国庆節"
+             , "國慶节"
+             , "國慶節"
+             ]
+  , examples (datetimeInterval ((2013, 10, 1, 18, 0, 0), (2013, 10, 2, 0, 0, 0)) Hour)
+             [ "国庆节晚上"
+             , "國慶節晚上"
+             ]
+  ]
diff --git a/Duckling/Time/ZH/CN/Rules.hs b/Duckling/Time/ZH/CN/Rules.hs
new file mode 100644
index 000000000..486876af7
--- /dev/null
+++ b/Duckling/Time/ZH/CN/Rules.hs
@@ -0,0 +1,35 @@
+-- Copyright (c) 2016-present, Facebook, Inc.
+-- All rights reserved.
+--
+-- This source code is licensed under the BSD-style license found in the
+-- LICENSE file in the root directory of this source tree. An additional grant
+-- of patent rights can be found in the PATENTS file in the same directory.
+
+
+{-# LANGUAGE GADTs #-}
+{-# LANGUAGE NoRebindableSyntax #-}
+{-# LANGUAGE OverloadedStrings #-}
+
+module Duckling.Time.ZH.CN.Rules
+  ( rules
+  ) where
+
+import Prelude
+
+import Duckling.Regex.Types
+import Duckling.Time.Helpers
+import Duckling.Types
+
+ruleNationalDay :: Rule
+ruleNationalDay = Rule
+  { name = "national day"
+  , pattern =
+    [ regex "(国庆|國慶)(节|節)?"
+    ]
+  , prod = \_ -> tt $ monthDay 10 1
+  }
+
+rules :: [Rule]
+rules =
+  [ ruleNationalDay
+  ]
diff --git a/Duckling/Time/ZH/Corpus.hs b/Duckling/Time/ZH/Corpus.hs
index 30484b55a..d186c18b1 100644
--- a/Duckling/Time/ZH/Corpus.hs
+++ b/Duckling/Time/ZH/Corpus.hs
@@ -9,10 +9,12 @@
 {-# LANGUAGE OverloadedStrings #-}
 
 module Duckling.Time.ZH.Corpus
-  ( corpus ) where
+  ( corpus
+  , defaultCorpus
+  ) where
 
-import Prelude
 import Data.String
+import Prelude
 
 import Duckling.Locale
 import Duckling.Resolve
@@ -20,6 +22,9 @@ import Duckling.Time.Corpus
 import Duckling.TimeGrain.Types hiding (add)
 import Duckling.Testing.Types hiding (examples)
 
+defaultCorpus :: Corpus
+defaultCorpus = corpus
+
 corpus :: Corpus
 corpus = (testContext {locale = makeLocale ZH Nothing}, allExamples)
 
@@ -482,22 +487,12 @@ allExamples = concat
              [ "建军节"
              , "建軍節"
              ]
-  , examples (datetime (2013, 10, 1, 0, 0, 0) Day)
-             [ "国庆"
-             , "國慶"
-             , "国庆节"
-             , "國慶節"
-             ]
   , examples (datetime (2013, 12, 25, 0, 0, 0) Day)
              [ "圣诞"
              , "聖誕"
              , "圣诞节"
              , "聖誕節"
              ]
-  , examples (datetimeInterval ((2013, 10, 1, 18, 0, 0), (2013, 10, 2, 0, 0, 0)) Hour)
-             [ "国庆节晚上"
-             , "國慶節晚上"
-             ]
   , examples (datetime (2013, 6, 1, 15, 15, 0) Minute)
              [ "儿童节下午三点十五"
              , "兒童節下午三點十五"
diff --git a/Duckling/Time/ZH/HK/Corpus.hs b/Duckling/Time/ZH/HK/Corpus.hs
new file mode 100644
index 000000000..3a3ed3c45
--- /dev/null
+++ b/Duckling/Time/ZH/HK/Corpus.hs
@@ -0,0 +1,37 @@
+-- Copyright (c) 2016-present, Facebook, Inc.
+-- All rights reserved.
+--
+-- This source code is licensed under the BSD-style license found in the
+-- LICENSE file in the root directory of this source tree. An additional grant
+-- of patent rights can be found in the PATENTS file in the same directory.
+
+
+{-# LANGUAGE OverloadedStrings #-}
+
+module Duckling.Time.ZH.HK.Corpus
+  ( allExamples
+  ) where
+
+import Data.String
+import Prelude
+
+import Duckling.Testing.Types hiding (examples)
+import Duckling.Time.Corpus
+import Duckling.Time.Types hiding (Month)
+import Duckling.TimeGrain.Types hiding (add)
+
+allExamples :: [Example]
+allExamples = concat
+  [ examples (datetime (2013, 10, 1, 0, 0, 0) Day)
+             [ "国庆"
+             , "國慶"
+             , "国庆节"
+             , "国庆節"
+             , "國慶节"
+             , "國慶節"
+             ]
+  , examples (datetimeInterval ((2013, 10, 1, 18, 0, 0), (2013, 10, 2, 0, 0, 0)) Hour)
+             [ "国庆节晚上"
+             , "國慶節晚上"
+             ]
+  ]
diff --git a/Duckling/Time/ZH/HK/Rules.hs b/Duckling/Time/ZH/HK/Rules.hs
new file mode 100644
index 000000000..c8a5904b2
--- /dev/null
+++ b/Duckling/Time/ZH/HK/Rules.hs
@@ -0,0 +1,35 @@
+-- Copyright (c) 2016-present, Facebook, Inc.
+-- All rights reserved.
+--
+-- This source code is licensed under the BSD-style license found in the
+-- LICENSE file in the root directory of this source tree. An additional grant
+-- of patent rights can be found in the PATENTS file in the same directory.
+
+
+{-# LANGUAGE GADTs #-}
+{-# LANGUAGE NoRebindableSyntax #-}
+{-# LANGUAGE OverloadedStrings #-}
+
+module Duckling.Time.ZH.HK.Rules
+  ( rules
+  ) where
+
+import Prelude
+
+import Duckling.Regex.Types
+import Duckling.Time.Helpers
+import Duckling.Types
+
+ruleNationalDay :: Rule
+ruleNationalDay = Rule
+  { name = "national day"
+  , pattern =
+    [ regex "(国庆|國慶)(节|節)?"
+    ]
+  , prod = \_ -> tt $ monthDay 10 1
+  }
+
+rules :: [Rule]
+rules =
+  [ ruleNationalDay
+  ]
diff --git a/Duckling/Time/ZH/MO/Corpus.hs b/Duckling/Time/ZH/MO/Corpus.hs
new file mode 100644
index 000000000..01aed22be
--- /dev/null
+++ b/Duckling/Time/ZH/MO/Corpus.hs
@@ -0,0 +1,37 @@
+-- Copyright (c) 2016-present, Facebook, Inc.
+-- All rights reserved.
+--
+-- This source code is licensed under the BSD-style license found in the
+-- LICENSE file in the root directory of this source tree. An additional grant
+-- of patent rights can be found in the PATENTS file in the same directory.
+
+
+{-# LANGUAGE OverloadedStrings #-}
+
+module Duckling.Time.ZH.MO.Corpus
+  ( allExamples
+  ) where
+
+import Data.String
+import Prelude
+
+import Duckling.Testing.Types hiding (examples)
+import Duckling.Time.Corpus
+import Duckling.Time.Types hiding (Month)
+import Duckling.TimeGrain.Types hiding (add)
+
+allExamples :: [Example]
+allExamples = concat
+  [ examples (datetime (2013, 10, 1, 0, 0, 0) Day)
+             [ "国庆"
+             , "國慶"
+             , "国庆节"
+             , "国庆節"
+             , "國慶节"
+             , "國慶節"
+             ]
+  , examples (datetimeInterval ((2013, 10, 1, 18, 0, 0), (2013, 10, 2, 0, 0, 0)) Hour)
+             [ "国庆节晚上"
+             , "國慶節晚上"
+             ]
+  ]
diff --git a/Duckling/Time/ZH/MO/Rules.hs b/Duckling/Time/ZH/MO/Rules.hs
new file mode 100644
index 000000000..e1107141f
--- /dev/null
+++ b/Duckling/Time/ZH/MO/Rules.hs
@@ -0,0 +1,35 @@
+-- Copyright (c) 2016-present, Facebook, Inc.
+-- All rights reserved.
+--
+-- This source code is licensed under the BSD-style license found in the
+-- LICENSE file in the root directory of this source tree. An additional grant
+-- of patent rights can be found in the PATENTS file in the same directory.
+
+
+{-# LANGUAGE GADTs #-}
+{-# LANGUAGE NoRebindableSyntax #-}
+{-# LANGUAGE OverloadedStrings #-}
+
+module Duckling.Time.ZH.MO.Rules
+  ( rules
+  ) where
+
+import Prelude
+
+import Duckling.Regex.Types
+import Duckling.Time.Helpers
+import Duckling.Types
+
+ruleNationalDay :: Rule
+ruleNationalDay = Rule
+  { name = "national day"
+  , pattern =
+    [ regex "(国庆|國慶)(节|節)?"
+    ]
+  , prod = \_ -> tt $ monthDay 10 1
+  }
+
+rules :: [Rule]
+rules =
+  [ ruleNationalDay
+  ]
diff --git a/Duckling/Time/ZH/Rules.hs b/Duckling/Time/ZH/Rules.hs
index ed12b9217..cbd1d542f 100644
--- a/Duckling/Time/ZH/Rules.hs
+++ b/Duckling/Time/ZH/Rules.hs
@@ -11,7 +11,8 @@
 {-# LANGUAGE OverloadedStrings #-}
 
 module Duckling.Time.ZH.Rules
-  ( rules ) where
+  ( rules
+  ) where
 
 import Data.Text (Text)
 import Prelude
@@ -301,15 +302,6 @@ ruleNow = Rule
   , prod = \_ -> tt $ cycleNth TG.Second 0
   }
 
-ruleNationalDay :: Rule
-ruleNationalDay = Rule
-  { name = "national day"
-  , pattern =
-    [ regex "(国庆|國慶)(节|節)?"
-    ]
-  , prod = \_ -> tt $ monthDay 10 1
-  }
-
 ruleTheCycleAfterTime :: Rule
 ruleTheCycleAfterTime = Rule
   { name = "the <cycle> after <time>"
@@ -1049,7 +1041,6 @@ rules =
   , ruleMonthNumericWithMonthSymbol
   , ruleMorning
   , ruleNamedmonthDayofmonth
-  , ruleNationalDay
   , ruleNewYearsDay
   , ruleNextCycle
   , ruleNextNCycle
diff --git a/Duckling/Time/ZH/TW/Corpus.hs b/Duckling/Time/ZH/TW/Corpus.hs
new file mode 100644
index 000000000..a0a3a1300
--- /dev/null
+++ b/Duckling/Time/ZH/TW/Corpus.hs
@@ -0,0 +1,37 @@
+-- Copyright (c) 2016-present, Facebook, Inc.
+-- All rights reserved.
+--
+-- This source code is licensed under the BSD-style license found in the
+-- LICENSE file in the root directory of this source tree. An additional grant
+-- of patent rights can be found in the PATENTS file in the same directory.
+
+
+{-# LANGUAGE OverloadedStrings #-}
+
+module Duckling.Time.ZH.TW.Corpus
+  ( allExamples
+  ) where
+
+import Data.String
+import Prelude
+
+import Duckling.Testing.Types hiding (examples)
+import Duckling.Time.Corpus
+import Duckling.Time.Types hiding (Month)
+import Duckling.TimeGrain.Types hiding (add)
+
+allExamples :: [Example]
+allExamples = concat
+  [ examples (datetime (2013, 10, 10, 0, 0, 0) Day)
+             [ "国庆"
+             , "國慶"
+             , "国庆节"
+             , "国庆節"
+             , "國慶节"
+             , "國慶節"
+             ]
+  , examples (datetimeInterval ((2013, 10, 10, 18, 0, 0), (2013, 10, 11, 0, 0, 0)) Hour)
+             [ "国庆节晚上"
+             , "國慶節晚上"
+             ]
+  ]
diff --git a/Duckling/Time/ZH/TW/Rules.hs b/Duckling/Time/ZH/TW/Rules.hs
new file mode 100644
index 000000000..6684ab093
--- /dev/null
+++ b/Duckling/Time/ZH/TW/Rules.hs
@@ -0,0 +1,35 @@
+-- Copyright (c) 2016-present, Facebook, Inc.
+-- All rights reserved.
+--
+-- This source code is licensed under the BSD-style license found in the
+-- LICENSE file in the root directory of this source tree. An additional grant
+-- of patent rights can be found in the PATENTS file in the same directory.
+
+
+{-# LANGUAGE GADTs #-}
+{-# LANGUAGE NoRebindableSyntax #-}
+{-# LANGUAGE OverloadedStrings #-}
+
+module Duckling.Time.ZH.TW.Rules
+  ( rules
+  ) where
+
+import Prelude
+
+import Duckling.Regex.Types
+import Duckling.Time.Helpers
+import Duckling.Types
+
+ruleNationalDay :: Rule
+ruleNationalDay = Rule
+  { name = "national day"
+  , pattern =
+    [ regex "(国庆|國慶)(节|節)?"
+    ]
+  , prod = \_ -> tt $ monthDay 10 10
+  }
+
+rules :: [Rule]
+rules =
+  [ ruleNationalDay
+  ]
diff --git a/duckling.cabal b/duckling.cabal
index 8899e423d..1202d6d79 100644
--- a/duckling.cabal
+++ b/duckling.cabal
@@ -108,6 +108,10 @@ library
                      , Duckling.Ranking.Classifiers.TR_XX
                      , Duckling.Ranking.Classifiers.UK_XX
                      , Duckling.Ranking.Classifiers.VI_XX
+                     , Duckling.Ranking.Classifiers.ZH_CN
+                     , Duckling.Ranking.Classifiers.ZH_HK
+                     , Duckling.Ranking.Classifiers.ZH_MO
+                     , Duckling.Ranking.Classifiers.ZH_TW
                      , Duckling.Ranking.Classifiers.ZH_XX
 
   -- ------------------------------------------------------------------
@@ -466,6 +470,14 @@ library
                      , Duckling.Time.VI.Rules
                      , Duckling.Time.ZH.Corpus
                      , Duckling.Time.ZH.Rules
+                     , Duckling.Time.ZH.CN.Corpus
+                     , Duckling.Time.ZH.CN.Rules
+                     , Duckling.Time.ZH.HK.Corpus
+                     , Duckling.Time.ZH.HK.Rules
+                     , Duckling.Time.ZH.MO.Corpus
+                     , Duckling.Time.ZH.MO.Rules
+                     , Duckling.Time.ZH.TW.Corpus
+                     , Duckling.Time.ZH.TW.Rules
                      , Duckling.Time.Corpus
                      , Duckling.Time.Helpers
                      , Duckling.Time.Types
diff --git a/exe/Duckling/Ranking/Generate.hs b/exe/Duckling/Ranking/Generate.hs
index a7359f991..bc175cea5 100644
--- a/exe/Duckling/Ranking/Generate.hs
+++ b/exe/Duckling/Ranking/Generate.hs
@@ -47,6 +47,10 @@ import qualified Duckling.Time.RO.Corpus as ROTime
 import qualified Duckling.Time.SV.Corpus as SVTime
 import qualified Duckling.Time.VI.Corpus as VITime
 import qualified Duckling.Time.ZH.Corpus as ZHTime
+import qualified Duckling.Time.ZH.CN.Corpus as ZH_CNTime
+import qualified Duckling.Time.ZH.HK.Corpus as ZH_HKTime
+import qualified Duckling.Time.ZH.MO.Corpus as ZH_MOTime
+import qualified Duckling.Time.ZH.TW.Corpus as ZH_TWTime
 
 -- -----------------------------------------------------------------
 -- Main
@@ -186,6 +190,10 @@ getCorpusForLang ZH = ZHTime.corpus
 getExamplesForLocale :: Lang -> Region -> [Example]
 getExamplesForLocale EN GB = EN_GBTime.allExamples
 getExamplesForLocale EN US = EN_USTime.allExamples
+getExamplesForLocale ZH CN = ZH_CNTime.allExamples
+getExamplesForLocale ZH HK = ZH_HKTime.allExamples
+getExamplesForLocale ZH MO = ZH_MOTime.allExamples
+getExamplesForLocale ZH TW = ZH_TWTime.allExamples
 getExamplesForLocale _ _   = []
 
 -- -----------------------------------------------------------------
diff --git a/tests/Duckling/Duration/ZH/Tests.hs b/tests/Duckling/Duration/ZH/Tests.hs
index 53f7772f7..f44fc7eec 100644
--- a/tests/Duckling/Duration/ZH/Tests.hs
+++ b/tests/Duckling/Duration/ZH/Tests.hs
@@ -10,22 +10,16 @@ module Duckling.Duration.ZH.Tests
   ( tests
   ) where
 
-import Prelude
 import Data.String
+import Prelude
 import Test.Tasty
-import Test.Tasty.HUnit
 
 import Duckling.Dimensions.Types
 import Duckling.Duration.ZH.Corpus
-import Duckling.Locale
-import Duckling.Resolve
 import Duckling.Testing.Asserts
+import Duckling.Testing.Types
 
 tests :: TestTree
 tests = testGroup "ZH Tests"
-  [ testCase "Corpus Tests" $
-      mapM_ (analyzedFirstTest context {locale = makeLocale ZH Nothing} . withTargets [This Duration])
-        xs
+  [ makeCorpusTest [This Duration] corpus
   ]
-  where
-    (context, xs) = corpus
diff --git a/tests/Duckling/Time/ZH/Tests.hs b/tests/Duckling/Time/ZH/Tests.hs
index 713b5c869..6508871e2 100644
--- a/tests/Duckling/Time/ZH/Tests.hs
+++ b/tests/Duckling/Time/ZH/Tests.hs
@@ -7,17 +7,46 @@
 
 
 module Duckling.Time.ZH.Tests
-  ( tests ) where
+  ( tests
+  ) where
 
 import Data.String
 import Prelude
 import Test.Tasty
 
 import Duckling.Dimensions.Types
+import Duckling.Locale
 import Duckling.Testing.Asserts
+import Duckling.Testing.Types
 import Duckling.Time.ZH.Corpus
+import qualified Duckling.Time.ZH.CN.Corpus as CN
+import qualified Duckling.Time.ZH.HK.Corpus as HK
+import qualified Duckling.Time.ZH.MO.Corpus as MO
+import qualified Duckling.Time.ZH.TW.Corpus as TW
 
 tests :: TestTree
 tests = testGroup "ZH Tests"
-  [ makeCorpusTest [This Time] corpus
+  [ makeCorpusTest [This Time] defaultCorpus
+  , localeTests
   ]
+
+localeTests :: TestTree
+localeTests = testGroup "Locale Tests"
+  [ testGroup "ZH_CN Tests"
+    [ makeCorpusTest [This Time] $ withLocale corpus localeCN CN.allExamples
+    ]
+  , testGroup "ZH_HK Tests"
+    [ makeCorpusTest [This Time] $ withLocale corpus localeHK HK.allExamples
+    ]
+  , testGroup "ZH_MO Tests"
+    [ makeCorpusTest [This Time] $ withLocale corpus localeMO MO.allExamples
+    ]
+  , testGroup "ZH_TW Tests"
+    [ makeCorpusTest [This Time] $ withLocale corpus localeTW TW.allExamples
+    ]
+  ]
+  where
+    localeCN = makeLocale ZH $ Just CN
+    localeHK = makeLocale ZH $ Just HK
+    localeMO = makeLocale ZH $ Just MO
+    localeTW = makeLocale ZH $ Just TW