Mercurial > repos > stevecassidy > nltktools
view g_stemmer.py @ 1:fb617586f4b2 draft
planemo upload commit a81826fe44f09a3710a35c183aa88b745aeec064-dirty
author | stevecassidy |
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date | Mon, 05 Dec 2016 05:22:05 -0500 |
parents | e991d4e60c17 |
children | a47980ef2b96 |
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import sys import os import nltk from nltk.stem import * import argparse def arguments(): parser = argparse.ArgumentParser(description="Segments the text input into separate sentences") parser.add_argument('--input', required=True, action="store", type=str, help="input text file") parser.add_argument('--output', required=True, action="store", type=str, help="output file path") parser.add_argument('--stemmer', required=False, action="store", type=str, help="output file path") args = parser.parse_args() return args def stem_file(in_file, out_file, stemmer_type): with open(in_file, 'r') as fd: unsegmented = fd.read() with open(out_file, 'w') as output: sentences = nltk.sent_tokenize(unsegmented) stemmer = get_stemmer(stemmer_type) for sentence in sentences: words = nltk.word_tokenize(sentence) for word in words: stemmed_word = stemmer.stem(word) output.write(stemmed_word) output.write('\n') def get_stemmer(stemmer_type): if stemmer_type == 'lancaster': stemmer = LancasterStemmer() elif stemmer_type == 'porter': stemmer = PorterStemmer() else: stemmer = snowball.EnglishStemmer() return stemmer if __name__ == '__main__': args = arguments() stem_file(args.input, args.output, args.stemmer)