def main(): output_format = "plaintext" lang_a = sys.argv[1] lang_b = sys.argv[2] model_path = os.path.abspath(sys.argv[3]) nltk.data.path += [model_path] model = YalignModel.load(model_path) pairing = read_pairing(open(sys.argv[4]), lang_a, lang_b) src_needed = set([a for a, _ in pairing]) tgt_needed = set([a for _, a in pairing]) src_articles = read_articles(open(sys.argv[5]), src_needed) tgt_articles = read_articles(open(sys.argv[6]), tgt_needed) for src, tgt in pairing: try: text_a = "\n".join(src_articles[src]) text_b = "\n".join(tgt_articles[tgt]) document_a = text_to_document(text_a, lang_a) document_b = text_to_document(text_b, lang_b) pairs = model.align(document_a, document_b) sys.stderr.write(u"{0} pairs in {1}-{2}\n".format(len(pairs), src, tgt).encode("utf-8")) write_plaintext(sys.stdout, pairs) except KeyError: sys.stderr.write(u"KeyError with {0}-{1}\n".format(src, tgt).encode("utf-8")) continue
def test_contains_more_than_one_sentence(self): document = text_to_document(self.text, self.language) self.assertGreater(len(document), 1) for sentence in document: self.assertIsInstance(sentence, Sentence) for word in sentence: self.assertIsInstance(word, unicode)
def test_contains_more_than_one_sentence(self): document = text_to_document(self.text, self.language) self.assertGreater(len(document), 1) for sentence in document: self.assertIsInstance(sentence, Sentence) for word in sentence: self.assertIsInstance(word, unicode)