예제 #1
0
    def setUp(self):
        self.parseset_creator = ParseSetCreator()

        all_roots = []

        lexemes = LexiconLoader.load_from_file(os.path.join(os.path.dirname(__file__), '../../resources/master_dictionary.txt'))
        for di in lexemes:
            all_roots.extend(RootGenerator.generate(di))

        root_map = (RootMapGenerator()).generate(all_roots)

        suffix_graph = CopulaSuffixGraph(NumeralSuffixGraph(ProperNounSuffixGraph(BasicSuffixGraph())))
        suffix_graph.initialize()

        predefined_paths = PredefinedPaths(root_map, suffix_graph)
        predefined_paths.create_predefined_paths()

        word_root_finder = WordRootFinder(root_map)
        digit_numeral_root_finder = DigitNumeralRootFinder()
        text_numeral_root_finder = TextNumeralRootFinder(root_map)
        proper_noun_from_apostrophe_root_finder = ProperNounFromApostropheRootFinder()
        proper_noun_without_apostrophe_root_finder = ProperNounWithoutApostropheRootFinder()

        self.parser = UpperCaseSupportingContextlessMorphologicalParser(suffix_graph, predefined_paths,
            [word_root_finder, digit_numeral_root_finder, text_numeral_root_finder, proper_noun_from_apostrophe_root_finder, proper_noun_without_apostrophe_root_finder])
예제 #2
0
    def setUpClass(cls):
        super(InterpolatingLikelihoodCalculatorCalculationContextTest,
              cls).setUpClass()
        all_roots = []

        lexemes = LexiconLoader.load_from_file(
            os.path.join(os.path.dirname(__file__),
                         '../../../../../resources/master_dictionary.txt'))
        for di in lexemes:
            all_roots.extend(RootGenerator.generate(di))

        root_map_generator = RootMapGenerator()
        cls.root_map = root_map_generator.generate(all_roots)

        suffix_graph = CopulaSuffixGraph(
            NumeralSuffixGraph(ProperNounSuffixGraph(BasicSuffixGraph())))
        suffix_graph.initialize()

        predefined_paths = PredefinedPaths(cls.root_map, suffix_graph)
        predefined_paths.create_predefined_paths()

        word_root_finder = WordRootFinder(cls.root_map)
        digit_numeral_root_finder = DigitNumeralRootFinder()
        text_numeral_root_finder = TextNumeralRootFinder(cls.root_map)
        proper_noun_from_apostrophe_root_finder = ProperNounFromApostropheRootFinder(
        )
        proper_noun_without_apostrophe_root_finder = ProperNounWithoutApostropheRootFinder(
        )

        cls.contextless_parser = UpperCaseSupportingContextlessMorphologicalParser(
            suffix_graph, predefined_paths, [
                word_root_finder, digit_numeral_root_finder,
                text_numeral_root_finder,
                proper_noun_from_apostrophe_root_finder,
                proper_noun_without_apostrophe_root_finder
            ])

        mongodb_connection = pymongo.Connection(host='127.0.0.1')
        cls.collection_map = {
            1: mongodb_connection['trnltk']['wordUnigrams999'],
            2: mongodb_connection['trnltk']['wordBigrams999'],
            3: mongodb_connection['trnltk']['wordTrigrams999']
        }

        database_index_builder = DatabaseIndexBuilder(cls.collection_map)
        target_form_given_context_counter = InMemoryCachingTargetFormGivenContextCounter(
            cls.collection_map)
        ngram_frequency_smoother = CachedSimpleGoodTuringNGramFrequencySmoother(
        )
        sequence_likelihood_calculator = UniformSequenceLikelihoodCalculator()

        wrapped_generator = ContextParsingLikelihoodCalculator(
            database_index_builder, target_form_given_context_counter,
            ngram_frequency_smoother, sequence_likelihood_calculator)

        cls.generator = InterpolatingLikelihoodCalculator(wrapped_generator)
root_map = root_map_generator.generate(all_roots)

suffix_graph = CopulaSuffixGraph(NumeralSuffixGraph(ProperNounSuffixGraph(BasicSuffixGraph())))
suffix_graph.initialize()

predefined_paths = PredefinedPaths(root_map, suffix_graph)
predefined_paths.create_predefined_paths()

word_root_finder = WordRootFinder(root_map)
text_numeral_root_finder = TextNumeralRootFinder(root_map)
digit_numeral_root_finder = DigitNumeralRootFinder()
proper_noun_from_apostrophe_root_finder = ProperNounFromApostropheRootFinder()
proper_noun_without_apostrophe_root_finder = ProperNounWithoutApostropheRootFinder()

parser = UpperCaseSupportingContextlessMorphologicalParser(suffix_graph, predefined_paths,
	[word_root_finder, text_numeral_root_finder, digit_numeral_root_finder,
	 proper_noun_from_apostrophe_root_finder, proper_noun_without_apostrophe_root_finder])

sentence = sys.argv[1].decode('utf-8')

for word in sentence.split():
	lst = parser.parse(word)
	root_set = set()
	for element in lst:
		formatted = formatter.format_morpheme_container_for_parseset(element)
		root = formatted[:formatted.index('+')]
		root_set.add(root.lower())

	for root in root_set:
		print(root.encode('utf-8'), end=' ')
	print()