diff options
Diffstat (limited to 'python/pkg/cdec/sa/extractor.py')
| -rw-r--r-- | python/pkg/cdec/sa/extractor.py | 36 |
1 files changed, 29 insertions, 7 deletions
diff --git a/python/pkg/cdec/sa/extractor.py b/python/pkg/cdec/sa/extractor.py index a5ce8a68..acc13cbc 100644 --- a/python/pkg/cdec/sa/extractor.py +++ b/python/pkg/cdec/sa/extractor.py @@ -1,16 +1,17 @@ from itertools import chain -import os +import os, sys import cdec.configobj from cdec.sa.features import EgivenFCoherent, SampleCountF, CountEF,\ - MaxLexEgivenF, MaxLexFgivenE, IsSingletonF, IsSingletonFE + MaxLexEgivenF, MaxLexFgivenE, IsSingletonF, IsSingletonFE,\ + IsSupportedOnline import cdec.sa # maximum span of a grammar rule in TEST DATA MAX_INITIAL_SIZE = 15 class GrammarExtractor: - def __init__(self, config, features=None): - if isinstance(config, str) or isinstance(config, unicode): + def __init__(self, config, online=False, features=None): + if isinstance(config, basestring): if not os.path.exists(config): raise IOError('cannot read configuration from {0}'.format(config)) config = cdec.configobj.ConfigObj(config, unrepr=True) @@ -50,18 +51,26 @@ class GrammarExtractor: train_max_initial_size=config['max_size'], # minimum span of an RHS nonterminal in a rule extracted from TRAINING DATA train_min_gap_size=config['min_gap'], - # True if phrases should be tight, False otherwise (better but slower) - tight_phrases=True, + # False if phrases should be loose (better but slower), True otherwise + tight_phrases=config.get('tight_phrases', True), ) # lexical weighting tables tt = cdec.sa.BiLex(from_binary=config['lex_file']) + # TODO: clean this up + extended_features = [] + if online: + extended_features.append(IsSupportedOnline) + # TODO: use @cdec.sa.features decorator for standard features too # + add a mask to disable features + for f in cdec.sa._SA_FEATURES: + extended_features.append(f) + scorer = cdec.sa.Scorer(EgivenFCoherent, SampleCountF, CountEF, MaxLexFgivenE(tt), MaxLexEgivenF(tt), IsSingletonF, IsSingletonFE, - *cdec.sa._SA_FEATURES) + *extended_features) fsarray = cdec.sa.SuffixArray(from_binary=config['f_sa_file']) edarray = cdec.sa.DataArray(from_binary=config['e_file']) @@ -82,3 +91,16 @@ class GrammarExtractor: meta = cdec.sa.annotate(words) cnet = cdec.sa.make_lattice(words) return self.factory.input(cnet, meta) + + # Add training instance to data + def add_instance(self, sentence, reference, alignment): + f_words = cdec.sa.encode_words(sentence.split()) + e_words = cdec.sa.encode_words(reference.split()) + al = sorted(tuple(int(i) for i in pair.split('-')) for pair in alignment.split()) + self.factory.add_instance(f_words, e_words, al) + + # Debugging + def dump_online_stats(self): + self.factory.dump_online_stats() + def dump_online_rules(self): + self.factory.dump_online_rules()
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