Mercurial > repos > stevecassidy > nltktools
diff g_stemmer.py @ 0:e991d4e60c17 draft
planemo upload commit 0203cb3a0b40d9348674b2b098af805e2986abca-dirty
author | stevecassidy |
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date | Wed, 12 Oct 2016 22:17:53 -0400 |
parents | |
children | fb617586f4b2 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/g_stemmer.py Wed Oct 12 22:17:53 2016 -0400 @@ -0,0 +1,40 @@ +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): + unsegmented = unicode(open(in_file, 'r').read(), errors='ignore') + output = open(out_file, 'w') + 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') + output.close() + +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)