mirror of https://github.com/explosion/spaCy.git
* Fix write_parses mode of bin/parser/train.py
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@ -165,17 +165,29 @@ def evaluate(Language, gold_tuples, model_dir, gold_preproc=False, verbose=False
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return scorer
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def write_parses(Language, dev_loc, model_dir, out_loc):
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nlp = Language()
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gold_tuples = read_docparse_file(dev_loc)
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def write_parses(Language, dev_loc, model_dir, out_loc, beam_width=None):
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nlp = Language(data_dir=model_dir)
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if beam_width is not None:
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nlp.parser.cfg.beam_width = beam_width
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gold_tuples = read_json_file(dev_loc)
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scorer = Scorer()
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out_file = codecs.open(out_loc, 'w', 'utf8')
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for raw_text, segmented_text, annot_tuples in gold_tuples:
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tokens = nlp(raw_text)
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for t in tokens:
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out_file.write(
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'%s\t%s\t%s\t%s\n' % (t.orth_, t.tag_, t.head.orth_, t.dep_)
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)
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for raw_text, sents in gold_tuples:
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sents = _merge_sents(sents)
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for annot_tuples, brackets in sents:
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if raw_text is None:
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tokens = nlp.tokenizer.tokens_from_list(annot_tuples[1])
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nlp.tagger(tokens)
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nlp.entity(tokens)
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nlp.parser(tokens)
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else:
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tokens = nlp(raw_text, merge_mwes=False)
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gold = GoldParse(tokens, annot_tuples)
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scorer.score(tokens, gold, verbose=False)
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for t in tokens:
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out_file.write(
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'%s\t%s\t%s\t%s\n' % (t.orth_, t.tag_, t.head.orth_, t.dep_)
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)
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return scorer
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@ -204,7 +216,7 @@ def main(train_loc, dev_loc, model_dir, n_sents=0, n_iter=15, out_loc="", verbos
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corruption_level=corruption_level, n_iter=n_iter,
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beam_width=beam_width)
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if out_loc:
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write_parses(English, dev_loc, model_dir, out_loc)
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write_parses(English, dev_loc, model_dir, out_loc, beam_width=beam_width)
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scorer = evaluate(English, list(read_json_file(dev_loc)),
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model_dir, gold_preproc=gold_preproc, verbose=verbose,
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beam_width=beam_width)
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