Mercurial > repos > stevecassidy > nltktools

annotate g_stemmer.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 sys
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2 import os
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3 import nltk
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4 from nltk.stem import *
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5 import argparse
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6
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7
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8 def arguments():
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9 parser = argparse.ArgumentParser(description="Segments the text input into separate sentences")
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10 parser.add_argument('--input', required=True, action="store", type=str, help="input text file")
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11 parser.add_argument('--output', required=True, action="store", type=str, help="output file path")
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12 parser.add_argument('--stemmer', required=False, action="store", type=str, help="output file path")
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13 args = parser.parse_args()
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14 return args
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15
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16 def stem_file(in_file, out_file, stemmer_type):
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17 unsegmented = unicode(open(in_file, 'r').read(), errors='ignore')
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18 output = open(out_file, 'w')
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19 sentences = nltk.sent_tokenize(unsegmented)
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20 stemmer = get_stemmer(stemmer_type)
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21 for sentence in sentences:
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22 words = nltk.word_tokenize(sentence)
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23 for word in words:
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24 stemmed_word = stemmer.stem(word)
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25 output.write(stemmed_word)
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26 output.write('\n')
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27 output.close()
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28
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29 def get_stemmer(stemmer_type):
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30 if stemmer_type == 'lancaster':
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31 stemmer = LancasterStemmer()
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32 elif stemmer_type == 'porter':
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33 stemmer = PorterStemmer()
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34 else:
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35 stemmer = snowball.EnglishStemmer()
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36 return stemmer
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37
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38 if __name__ == '__main__':
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39 args = arguments()
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40 stem_file(args.input, args.output, args.stemmer)