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])
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)
def setUpClass(cls):
super(StatisticalParserTest, 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(
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(
)
contextless_parser = ContextlessMorphologicalParser(
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
])
parseset_index = "001"
dom = parse(
os.path.join(
os.path.dirname(__file__),
'../../testresources/parsesets/parseset{}.xml'.format(
parseset_index)))
parseset = ParseSetBinding.build(
dom.getElementsByTagName("parseset")[0])
parse_set_word_list = []
for sentence in parseset.sentences:
parse_set_word_list.extend(sentence.words)
complete_word_concordance_index = CompleteWordConcordanceIndex(
parse_set_word_list)
cls.parser = StatisticalParser(contextless_parser,
complete_word_concordance_index)
class TextNumeralRootFinderTest(unittest.TestCase):
def setUp(self):
mock_lexeme1_1 = Mock()
mock_lexeme1_2 = Mock()
mock_lexeme2_1 = Mock()
mock_lexeme2_2 = Mock()
mock_lexeme1_1.syntactic_category = SyntacticCategory.NUMERAL
mock_lexeme1_2.syntactic_category = SyntacticCategory.NUMERAL
mock_lexeme2_1.syntactic_category = SyntacticCategory.NUMERAL
mock_lexeme2_2.syntactic_category = SyntacticCategory.NOUN
self.mock_root1_1 = Mock()
self.mock_root1_2 = Mock()
self.mock_root2_1 = Mock()
self.mock_root2_2 = Mock()
self.mock_root1_1.lexeme = mock_lexeme1_1
self.mock_root1_2.lexeme = mock_lexeme1_2
self.mock_root2_1.lexeme = mock_lexeme2_1
self.mock_root2_2.lexeme = mock_lexeme2_2
lexeme_map = {u'root1' : [self.mock_root1_1, self.mock_root1_2], u'root2': [self.mock_root2_1, self.mock_root2_2]}
self.root_finder = TextNumeralRootFinder(lexeme_map)
def test_should_find_roots(self):
roots = self.root_finder.find_roots_for_partial_input(u"root1")
assert_that(roots, has_length(2))
assert_that(roots, has_items(self.mock_root1_1, self.mock_root1_2))
roots = self.root_finder.find_roots_for_partial_input(u"root2")
assert_that(roots, has_length(1))
assert_that(roots, has_items(self.mock_root2_1))
roots = self.root_finder.find_roots_for_partial_input(u"UNDEFINED")
assert_that(roots, has_length(0))
def setUp(self):
mock_lexeme1_1 = Mock()
mock_lexeme1_2 = Mock()
mock_lexeme2_1 = Mock()
mock_lexeme2_2 = Mock()
mock_lexeme1_1.syntactic_category = SyntacticCategory.NUMERAL
mock_lexeme1_2.syntactic_category = SyntacticCategory.NUMERAL
mock_lexeme2_1.syntactic_category = SyntacticCategory.NUMERAL
mock_lexeme2_2.syntactic_category = SyntacticCategory.NOUN
self.mock_root1_1 = Mock()
self.mock_root1_2 = Mock()
self.mock_root2_1 = Mock()
self.mock_root2_2 = Mock()
self.mock_root1_1.lexeme = mock_lexeme1_1
self.mock_root1_2.lexeme = mock_lexeme1_2
self.mock_root2_1.lexeme = mock_lexeme2_1
self.mock_root2_2.lexeme = mock_lexeme2_2
lexeme_map = {u'root1' : [self.mock_root1_1, self.mock_root1_2], u'root2': [self.mock_root2_1, self.mock_root2_2]}
self.root_finder = TextNumeralRootFinder(lexeme_map)
def setUpClass(cls):
super(_LikelihoodCalculatorTest, 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 = ContextlessMorphologicalParser(
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
])
cls.mongodb_connection = pymongo.Connection(host='127.0.0.1')
cls.collection_map = {
1: cls.mongodb_connection['trnltk']['wordUnigrams999'],
2: cls.mongodb_connection['trnltk']['wordBigrams999'],
3: cls.mongodb_connection['trnltk']['wordTrigrams999']
}
cls.generator = None
def setUpClass(cls):
super(TransitionGeneratorTest, 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.parser = ContextlessMorphologicalParser(
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
])
cls.transition_generator = TransitionGenerator(cls.parser)
lexemes = LexiconLoader.load_from_file('trnltk/trnltk/resources/master_dictionary.txt')
for di in lexemes:
all_roots.extend(CircumflexConvertingRootGenerator.generate(di))
root_map_generator = RootMapGenerator()
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)
