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* Update bin/parser/train for printing output.
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@ -148,8 +148,9 @@ def train(Language, gold_tuples, model_dir, n_iter=15, feat_set=u'basic',
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nlp.end_training(model_dir)
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print('done')
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def evaluate(Language, gold_tuples, model_dir, gold_preproc=False, verbose=False,
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beam_width=None):
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beam_width=None, cand_preproc=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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@ -166,16 +167,14 @@ def evaluate(Language, gold_tuples, model_dir, gold_preproc=False, verbose=False
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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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tokens = nlp(raw_text)
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gold = GoldParse(tokens, annot_tuples)
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scorer.score(tokens, gold, verbose=verbose)
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return scorer
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def write_parses(Language, dev_loc, model_dir, out_loc, beam_width=None):
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def write_parses(Language, dev_loc, model_dir, out_loc):
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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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@ -188,14 +187,16 @@ def write_parses(Language, dev_loc, model_dir, out_loc, beam_width=None):
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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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tokens = nlp(raw_text)
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#gold = GoldParse(tokens, annot_tuples)
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#scorer.score(tokens, gold, verbose=False)
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for sent in tokens.sents:
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for t in sent:
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if not t.is_space:
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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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'%d\t%s\t%s\t%s\t%s\n' % (t.i, t.orth_, t.tag_, t.head.orth_, t.dep_)
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)
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return scorer
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out_file.write('\n')
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@plac.annotations(
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@ -220,14 +221,15 @@ def main(train_loc, dev_loc, model_dir, n_sents=0, n_iter=15, out_loc="", verbos
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gold_preproc=gold_preproc, n_sents=n_sents,
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corruption_level=corruption_level, n_iter=n_iter,
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verbose=verbose)
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#if out_loc:
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# write_parses(English, dev_loc, model_dir, out_loc, 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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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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print('TOK', scorer.token_acc)
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print('POS', scorer.tags_acc)
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print('UAS', scorer.uas)
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print('LAS', scorer.las)
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print('SBD', scorer.sbd_acc)
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print('NER P', scorer.ents_p)
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print('NER R', scorer.ents_r)
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