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Paraphrase data via back-translation using Google Translation
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# -*- coding: utf-8 -*- | |
import argparse | |
from functools import partial | |
from multiprocessing.dummy import Pool | |
import nltk | |
from google_trans_new import google_translator | |
from tqdm import tqdm | |
translator = google_translator() | |
def backtranslate(text, src, tgt): | |
tgt_text = translator.translate(text, tgt, src) | |
if isinstance(tgt_text, list): | |
tgt_text = tgt_text[0] | |
tgt_text = translator.translate(tgt_text, src, tgt) | |
if isinstance(tgt_text, list): | |
tgt_text = tgt_text[0] | |
return tgt_text | |
def paraphrase(fin, fout, src, tgt): | |
r'''Paraphrase data via back-translation using Google Translation. | |
Parameters: | |
fin (str): the file to convert. | |
fout (str): the file to save. | |
src (str): source language. | |
tgt (str): target language. | |
''' | |
with open(fin, 'r') as f: | |
lines = [i.strip() for i in f] | |
fn = partial(backtranslate, src=src, tgt=tgt) | |
pool = Pool(8) | |
lang_map = {'en': 'english', 'de': 'german', | |
'es': 'spanish', 'nl': 'dutch'} | |
with open(fout, 'w') as f: | |
for i in tqdm(pool.imap(fn, tqdm(lines))): | |
f.write(' '.join(nltk.word_tokenize(i, language=lang_map[tgt])) + '\n') | |
pool.close() | |
pool.join() | |
if __name__ == "__main__": | |
parser = argparse.ArgumentParser( | |
description='Paraphrase data via back-translation using Google Translation.' | |
) | |
parser.add_argument('--fin', help='the file to convert') | |
parser.add_argument('--fout', help='the file to save') | |
parser.add_argument('--src', default='en', help='source language') | |
parser.add_argument('--tgt', default='de', help='target language') | |
args = parser.parse_args() | |
paraphrase(args.fin, args.fout, args.src, args.tgt) |
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@mvneobux Hi, the usage is simple. Assume
fin
is the English text file you wish to paraphrase,fout
is the tgt file, once you take de as the intermediate lang, then you can invoketo paraphrase English plain texts.
You can take any lang as intermediate langs up to your needs.