Mercurial > repos > stevecassidy > nltktools

annotate g_tokenize.py @ 0:e991d4e60c17 draft

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author stevecassidy
date Wed, 12 Oct 2016 22:17:53 -0400
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children fb617586f4b2
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e991d4e60c17 planemo upload commit 0203cb3a0b40d9348674b2b098af805e2986abca-dirty
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1 import nltk
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2 import string
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3 import argparse
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4
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5 def arguments():
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6 parser = argparse.ArgumentParser(description="tokenize a text")
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7 parser.add_argument('--input', required=True, action="store", type=str, help="input text file")
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8 parser.add_argument('--output', required=True, action="store", type=str, help="output file path")
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9 parser.add_argument('--lower', required=False, action="store_true", help="lowercase all words")
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10 parser.add_argument('--nopunct', required=False, action="store_true", help="remove all punctuation characters")
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11 args = parser.parse_args()
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12 return args
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15 def strip_punct(text):
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16 table = string.maketrans("","")
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17 return text.translate(table, string.punctuation)
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20 def tokenize(in_file, out_file, lower=False, nopunct=False):
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21 text = open(in_file, 'r').read()
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22 if lower:
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23 text = text.lower()
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24 if nopunct:
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25 text = strip_punct(text)
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26 result = []
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27 text = unicode(text, errors='ignore')
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28 sentences = nltk.sent_tokenize(text)
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29 for sentence in sentences:
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30 tokens = nltk.word_tokenize(sentence)
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31 result.append(tokens)
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32 output = open(out_file, 'w')
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33 # write one token per line
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34 for sentence in result:
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35 for token in sentence:
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36 output.write(token + "\n")
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37 output.close()
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38
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40 if __name__ == '__main__':
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41 args = arguments()
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42 tokenize(args.input, args.output, lower=args.lower, nopunct=args.nopunct)