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Fix gold-preproc training mode
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@ -252,8 +252,12 @@ class GoldCorpus(object):
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raw_text = add_noise(raw_text, noise_level)
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return [nlp.make_doc(raw_text)], paragraph_tuples
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else:
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docs = []
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raw_text, paragraph_tuples = make_orth_variants(nlp, None, paragraph_tuples, orth_variant_level=orth_variant_level)
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cats = paragraph_tuples.pop()
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for i in range(len(paragraph_tuples)):
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sent_tuples, brackets = paragraph_tuples[i]
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sent_tuples = sent_tuples + [cats]
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paragraph_tuples[i] = [sent_tuples, brackets]
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return [Doc(nlp.vocab, words=add_noise(sent_tuples[1], noise_level))
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for (sent_tuples, brackets) in paragraph_tuples], paragraph_tuples
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