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adding greenhill uto-aztecan concept list
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MuffinLinwist committed Sep 26, 2024
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1 change: 1 addition & 0 deletions concepticondata/conceptlists.tsv
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Expand Up @@ -445,3 +445,4 @@ Snodgrass-1980-260 Snodgrass, Joan G. and Vanderwart, Mary 1980 260 basic, nami
MorenoMartinez-2012-360 Moreno-Martinez, Francisco J. and Montoro, Pedro R. 2012 360 naming test English, Spanish global https://doi.org/10.1371/journal.pone.0037527.s002 MorenoMartinez2012 This work presents a new set of 360 high quality color images belonging to 23 semantic subcategories (ANIMALS, BIRDS, BODYPARTS, FLOWERS, FRUITS, INSECTS, MARINE CREATURES, NUTS, TREES, VEGETABLES, BUILDINGS, CLOTHING, DESK MATERIAL, FOOD, FURNITURE, JEWELLERY, KITCHEN UTENSILS, MUSICAL INSTRUMENT, SPORTS/GAMES, TOOLS, VEHICLES, WEAPONS, NATURE). The images were named by 230 Spanish native speakers and come with multiple psycholinguistic variables rated by the participants, listed here are mean values for: AoA (7-interval scale, 1 = 0–2 years; 7 = 13 years or more), familiarity (5-point lickert scale), typicality (5-point lickert scale), visual complexity (5-point lickert scale) and lexical frequency (obtained via the AltaVista search engine, log).
Migliazza-1972-714 Migliazza, Ernest 1972 714 English Yanomamic languages Migliazza1972 The list is part of a dissertion on the Yanomama languages. The dissertion gives information on the external situation of the language, an overview on major syntactic aspects, the phonology of the language, and a comparison between the four varieties with respect to their degree of intelligibility. 457
Berry-1987-195 Berry, Christine and Berry, Keith 1987 195 basic English, Indonesian West Papuan languages https://www.sil.org/resources/archives/37738 Berry1987 This concept list was compiled for a survey on West Papuan languages. It bears general resemblance with typical concept lists compiled for Papuan and Austronesian languages, but to our knowledge, the study does not mention a specific concept list that was used as a basic model. 62-80
Greenhill-2023-121 Greenhill, Simon J. and Haynie, Hannah J. and Ross, Robert M. and Chira, Angela M. and List, Johann-Mattis and Campbell, Lyle and Botero, Carlos A. and Gray, Russell D. 2023 121 English Uto-Aztecan languages 10.1353/lan.2023.0006 This list is part of a phylogenetic study on the history of the Uto-Aztecan language family. It analyzes lexical data from thirty-four Uto-Aztecan varieties and two Kiowa-Tanoan languages with Bayesian phylogenetic methods. The study infers the age of Proto-Uto-Aztecan and identify the most likely homeland of the proto-language. 81-107
122 changes: 122 additions & 0 deletions concepticondata/conceptlists/Greenhill-2023-121.tsv
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ID NUMBER GLOSS CONCEPTICON_ID CONCEPTICON_GLOSS
Greenhill-2023-121-1 1 no, not 2279 NO OR NOT
Greenhill-2023-121-2 2 many 1198 MANY
Greenhill-2023-121-3 3 one 1493 ONE
Greenhill-2023-121-4 4 two 1498 TWO
Greenhill-2023-121-5 5 big 1202 BIG
Greenhill-2023-121-6 6 old 1229 OLD
Greenhill-2023-121-7 7 small 1246 SMALL
Greenhill-2023-121-8 8 short 1645 SHORT
Greenhill-2023-121-9 9 long 1203 LONG
Greenhill-2023-121-10 10 new 1231 NEW
Greenhill-2023-121-11 11 good 1035 GOOD
Greenhill-2023-121-12 12 round 1395 ROUND
Greenhill-2023-121-13 13 heavy 1210 HEAVY
Greenhill-2023-121-14 14 dry 1398 DRY
Greenhill-2023-121-15 15 sharp (blade) 1396 SHARP
Greenhill-2023-121-16 16 dirty 1230 DIRTY
Greenhill-2023-121-17 17 full 1429 FULL
Greenhill-2023-121-18 18 cold 1287 COLD
Greenhill-2023-121-19 19 hot 1286 HOT
Greenhill-2023-121-20 20 woman 962 WOMAN
Greenhill-2023-121-21 21 man 1554 MAN
Greenhill-2023-121-22 22 person 683 PERSON
Greenhill-2023-121-23 23 fish 227 FISH
Greenhill-2023-121-24 24 bird 937 BIRD
Greenhill-2023-121-25 25 dog 2009 DOG
Greenhill-2023-121-26 26 louse 1392 LOUSE
Greenhill-2023-121-27 27 snake 730 SNAKE
Greenhill-2023-121-28 28 tree 906 TREE
Greenhill-2023-121-29 29 bark 1204 BARK
Greenhill-2023-121-30 30 leaf 628 LEAF
Greenhill-2023-121-31 31 root 670 ROOT
Greenhill-2023-121-32 32 seed 714 SEED
Greenhill-2023-121-33 33 blood 946 BLOOD
Greenhill-2023-121-34 34 meat 634 MEAT
Greenhill-2023-121-35 35 skin 763 SKIN
Greenhill-2023-121-36 36 bone 1394 BONE
Greenhill-2023-121-37 37 grease, fat 323 FAT (ORGANIC SUBSTANCE)
Greenhill-2023-121-38 38 egg 744 EGG
Greenhill-2023-121-39 39 horn 1393 HORN (ANATOMY)
Greenhill-2023-121-40 40 tail 1220 TAIL
Greenhill-2023-121-41 41 feather 1201 FEATHER
Greenhill-2023-121-42 42 hair 1040 HAIR
Greenhill-2023-121-43 43 head 1256 HEAD
Greenhill-2023-121-44 44 ear 1247 EAR
Greenhill-2023-121-45 45 eye 1248 EYE
Greenhill-2023-121-46 46 nose 1221 NOSE
Greenhill-2023-121-47 47 mouth 674 MOUTH
Greenhill-2023-121-48 48 tooth 1380 TOOTH
Greenhill-2023-121-49 49 tongue 1205 TONGUE
Greenhill-2023-121-50 50 claw, nail 72 CLAW
Greenhill-2023-121-51 51 foot 1301 FOOT
Greenhill-2023-121-52 52 knee 1371 KNEE
Greenhill-2023-121-53 53 hand 1277 HAND
Greenhill-2023-121-54 54 arm 1673 ARM
Greenhill-2023-121-55 55 rope 1218 ROPE
Greenhill-2023-121-56 56 belly 1251 BELLY
Greenhill-2023-121-57 57 navel, bellybutton 1838 NAVEL
Greenhill-2023-121-58 58 neck 1333 NECK
Greenhill-2023-121-59 59 breast 1402 BREAST
Greenhill-2023-121-60 60 heart 1223 HEART
Greenhill-2023-121-61 61 liver 1224 LIVER
Greenhill-2023-121-62 62 drink 1401 DRINK
Greenhill-2023-121-63 63 eat 1336 EAT
Greenhill-2023-121-64 64 bite 1403 BITE
Greenhill-2023-121-65 65 vomit 1278 VOMIT
Greenhill-2023-121-66 66 see 1409 SEE
Greenhill-2023-121-67 67 hear 1408 HEAR
Greenhill-2023-121-68 68 know 1410 KNOW (SOMETHING)
Greenhill-2023-121-69 69 sleep 1585 SLEEP
Greenhill-2023-121-70 70 die 1494 DIE
Greenhill-2023-121-71 71 kill 1417 KILL
Greenhill-2023-121-72 72 fly 1441 FLY (MOVE THROUGH AIR)
Greenhill-2023-121-73 73 walk 1443 WALK
Greenhill-2023-121-74 74 come 1446 COME
Greenhill-2023-121-75 75 lie 1411 LIE (REST)
Greenhill-2023-121-76 76 sit (sit down) 1649 SIT DOWN
Greenhill-2023-121-77 77 stand (up) 570 STAND UP
Greenhill-2023-121-78 78 throw 1456 THROW
Greenhill-2023-121-79 79 give 1447 GIVE
Greenhill-2023-121-80 80 say 1458 SAY
Greenhill-2023-121-81 81 sing 1261 SING
Greenhill-2023-121-82 82 sun 1343 SUN
Greenhill-2023-121-83 83 moon 1313 MOON
Greenhill-2023-121-84 84 star 1430 STAR
Greenhill-2023-121-85 85 sky 1732 SKY
Greenhill-2023-121-86 86 water 948 WATER
Greenhill-2023-121-87 87 wind 960 WIND
Greenhill-2023-121-88 88 rain 658 RAIN (PRECIPITATION)
Greenhill-2023-121-89 89 snow 784 SNOW
Greenhill-2023-121-90 90 stone, rock 857 STONE
Greenhill-2023-121-91 91 sand 671 SAND
Greenhill-2023-121-92 92 earth 1228 EARTH (SOIL)
Greenhill-2023-121-93 93 salt 1274 SALT
Greenhill-2023-121-94 94 cloud 1489 CLOUD
Greenhill-2023-121-95 95 smoke 778 SMOKE (EXHAUST)
Greenhill-2023-121-96 96 fire 221 FIRE
Greenhill-2023-121-97 97 ash 646 ASH
Greenhill-2023-121-98 98 burn 141 BURN (SOMETHING)
Greenhill-2023-121-99 99 path, road 2457 PATH OR ROAD
Greenhill-2023-121-100 100 mountain 639 MOUNTAIN
Greenhill-2023-121-101 101 red 156 RED
Greenhill-2023-121-102 102 green 1425 GREEN
Greenhill-2023-121-103 103 yellow 1424 YELLOW
Greenhill-2023-121-104 104 white 1335 WHITE
Greenhill-2023-121-105 105 black 163 BLACK
Greenhill-2023-121-106 106 night 1233 NIGHT
Greenhill-2023-121-107 107 name 1405 NAME
Greenhill-2023-121-108 108 year 1226 YEAR
Greenhill-2023-121-109 109 three 492 THREE
Greenhill-2023-121-110 110 four 1500 FOUR
Greenhill-2023-121-111 111 five 493 FIVE
Greenhill-2023-121-112 112 six 1703 SIX
Greenhill-2023-121-113 113 I 1209 I
Greenhill-2023-121-114 114 you (sing.) 1215 THOU
Greenhill-2023-121-115 115 we 1212 WE
Greenhill-2023-121-116 116 what 1236 WHAT
Greenhill-2023-121-117 117 who 1235 WHO
Greenhill-2023-121-118 118 this 1214 THIS
Greenhill-2023-121-119 119 that 78 THAT
Greenhill-2023-121-120 120 all 98 ALL
Greenhill-2023-121-121 121 swim 1439 SWIM
54 changes: 54 additions & 0 deletions concepticondata/conceptlists/Greenhill-2023-121.tsv-metadata.json
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{
"@context": [
"http://www.w3.org/ns/csvw",
{
"@language": "en"
}
],
"dialect": {
"encoding": "utf-8-sig",
"delimiter": "\t",
"skipBlankRows": true
},
"tables": [
{
"tableSchema": {
"columns": [
{
"datatype": {
"base": "string",
"format": "[a-zA-Z]+\\-[0-9]{4}\\-[0-9]+[a-z]?\\-[0-9]+[a-z]?$"
},
"name": "ID"
},
{
"datatype": {
"base": "string",
"format": "[0-9\\.]+([a-z\\\u2013]+)?$"
},
"name": "NUMBER"
},
{
"datatype": "string",
"name": "GLOSS"
},
{
"datatype": {
"base": "integer",
"minimum": 1
},
"name": "CONCEPTICON_ID"
},
{
"datatype": "string",
"name": "CONCEPTICON_GLOSS"
}
],
"primaryKey": [
"ID"
]
},
"url": "Greenhill-2023-121.tsv"
}
]
}
13 changes: 13 additions & 0 deletions concepticondata/references/references.bib
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Expand Up @@ -4652,3 +4652,16 @@ @phdthesis{Migliazza1972
title = {Yanomama grammar and intelligibility},
year = {1972}
}

@article{Greenhill2023,
title = {A recent northern origin for the Uto-Aztecan family},
author = {Greenhill, {Simon J.} and Haynie, {Hannah J.} and Ross, {Robert M.} and Chira, {Angela M.} and List, Johann-Mattis and Campbell, Lyle and Botero, {Carlos A.} and Gray, {Russell D.}},
year = {2023},
month = mar,
doi = {10.1353/lan.2023.0006},
volume = {99},
pages = {81--107},
journal = {Language},
publisher = {Linguistic Society of America},
number = {1},
}

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