comparison g_stemmer.py @ 0:e991d4e60c17 draft

planemo upload commit 0203cb3a0b40d9348674b2b098af805e2986abca-dirty

0:e991d4e60c17

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)