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Use specific language class instead of base Language class
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@ -129,7 +129,7 @@ def main(lang_name, train_loc, dev_loc, model_dir, clusters_loc=None):
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random.shuffle(train_sents)
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scorer = score_model(vocab, tagger, parser, read_conllx(dev_loc))
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print('%d:\t%.3f\t%.3f\t%.3f' % (itn, loss, scorer.uas, scorer.tags_acc))
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nlp = Language(vocab=vocab, tagger=tagger, parser=parser)
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nlp = LangClass(vocab=vocab, tagger=tagger, parser=parser)
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nlp.end_training(model_dir)
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scorer = score_model(vocab, tagger, parser, read_conllx(dev_loc))
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print('%d:\t%.3f\t%.3f\t%.3f' % (itn, scorer.uas, scorer.las, scorer.tags_acc))
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