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bibleanalyze.py
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bibleanalyze.py
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"""
Analyze the Gutenberg Project's Bible text into sentences and words.
We consider a verse to be a sentence: starting at a verse number like
1:23 and ending at the next verse or blank line.
Output an n-gram table.
"""
import itertools
import re
import sys
def main():
# print_tokens()
# count_bigrams()
count_ngrams(4)
def print_tokens():
for token in enum_bible_tokens(sys.stdin):
print token
def count_ngrams(n):
d = {}
state = ()
for token in enum_bible_tokens(sys.stdin):
word = token if token == '<S>' else token.lower()
if n-1 == len(state):
key = state + (word,)
d[key] = d.get(key, 0) + 1
state = state[1:] + (word,)
else:
state = state + (word,)
for words, count in d.iteritems():
sys.stdout.write('%s\t%d\n' % (' '.join(words), count))
def enum_bible_tokens(lines):
for para in enum_paragraphs(lines):
for verse in enum_verses(para):
yield '<S>'
for token in verse:
yield token
def enum_paragraphs(lines):
para = []
for line in lines:
line = line.strip()
if line:
para.append(line)
elif para:
yield '\n'.join(para)
para = []
if para:
yield '\n'.join(para)
def enum_verses(paragraph):
versenum = r'\d+:\d+'
tokens = re.findall(versenum + r"|['\w]+", paragraph)
groups = itertools.groupby(tokens, re.compile(versenum).match)
first_group = True
for is_versenum, verse_tokens in groups:
if not first_group:
if not is_versenum:
yield [t.strip("'") for t in verse_tokens]
first_group = False
if __name__ == '__main__':
main()