Mercurial > repos > stevecassidy > nltktools

annotate g_read_sents.py @ 1:fb617586f4b2 draft

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planemo upload commit a81826fe44f09a3710a35c183aa88b745aeec064-dirty
author stevecassidy
date Mon, 05 Dec 2016 05:22:05 -0500
parents e991d4e60c17
children a47980ef2b96
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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.corpus import PlaintextCorpusReader
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5 import argparse
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6
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7 def Parser():
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8 the_parser = argparse.ArgumentParser(description="Segments the text input into separate sentences")
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9 the_parser.add_argument('--input', required=True, action="store", type=str, help="input text file")
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10 the_parser.add_argument('--output', required=True, action="store", type=str, help="output file path")
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11
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12 args = the_parser.parse_args()
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13 return args
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15 def print_out(outp, text, sentences):
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16 with open(outp, 'w') as output:
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17 curr = 0
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18 for sent in sentences:
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19 times = count_occurences(sent, sent[-1])
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20 curr = text.find(sent[0], curr)
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21 end = find_nth(text, sent[-1], times, curr) + len(sent[-1])
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22 output.write(text[curr:end] + '\n')
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23 curr = end
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25 def find_nth(string, sub, n, offset):
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26 start = string.find(sub, offset)
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27 while start >= 0 and n > 1:
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28 start = string.find(sub, start + len(sub))
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29 n -= 1
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30 return start
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32 def count_occurences(lst, string):
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33 count = 0
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34 for item in lst:
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35 if string in item:
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36 count += 1
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37 return count
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38
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39 def read_sents(inp, outp):
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40 with open(inp, 'r') as fd:
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41 i = fd.read()
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42 corpus = PlaintextCorpusReader(os.path.dirname(inp), os.path.basename(inp))
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43 sents = corpus.sents()
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44 print_out(outp, i, sents)
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46 if __name__ == '__main__':
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47 args = Parser()
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48 read_sents(args.input, args.output)