def get_dict_vectors_word_for_word(word):
vectors = OrderedDict()
definitions = OxfordParser.get_definitions_of_word(word)
for definition in definitions:
vector = PreprocessDefinition.preprocess_sentence(definition)
key = definition
vectors[key] = vector
return vectors
def get_dict_vectors_words_for_word(word):
vectors = OrderedDict()
synsets = WordnetHandler.get_synsets_for_word(word, 'n')
for synset in synsets:
definition = synset.definition()
vector = PreprocessDefinition.preprocess_sentence(definition)
key = synset.definition()
vectors[key] = vector
return vectors
def get_definition_synset_with_synsetwn(definition, synsets_wn):
definition_synsets = []
# nouns = PreprocessDefinition.preprocess_sentence_to_nouns(definition)
nouns = PreprocessDefinition.preprocess_sentence(definition)
# nouns = list(set(nouns))
for noun in nouns:
synset_max = get_greatest_synset_similarity_between(synsets_wn, noun)
if synset_max is not None:
definition_synsets.append((synset_max,1))
return definition_synsets
def get_definition_synset(synset):
key = synset.name()
if key not in __dict_defi_for_synset__:
synsets_definition = []
definition = synset.definition()
# nouns = PreprocessDefinition.preprocess_sentence_to_nouns(definition)
nouns = PreprocessDefinition.preprocess_sentence(definition)
# nouns = list(set(nouns))
for noun in nouns:
synset_max = get_greatest_synset_similarity_between(synset, noun)
if synset_max is not None:
synsets_definition.append(synset_max)
__dict_defi_for_synset__[key] = synsets_definition
return __dict_defi_for_synset__[key]
def get_feature_synset_for(synset):
key = synset.name()
if key not in __dict_feature_for_synset:
synsets_definition = []
definition = synset.definition()
nouns = PreprocessDefinition.preprocess_sentence(definition)
# nouns = list(set(nouns))
for noun in nouns:
synset_max = get_greatest_synset_similarity_between(synset, noun)
if synset_max is not None:
synsets_definition.append((synset_max,PARAMS.PARAMS_WN.DEFI))
#
# # # - - - - - - - - - - - - - - - - - - - - - - - - - - -
# # # get hypernyms
# # print "\nhypernyms ------";
# for hypernym in synset.hypernyms():
# synsets_definition.append((hypernym,PARAMS.PARAMS_WN.HYPER))
#
# # - - - - - - - - - - - - - - - - - - - - - - - - - - -
# # get hyponyms
# for hyponym in synset.hyponyms():
# synsets_definition.append((hyponym,PARAMS.PARAMS_WN.HYPO))
#
# for meronym in synset.part_meronyms():
# synsets_definition.append((meronym,PARAMS.PARAMS_WN.MERO))
#
# for holonym in synset.member_holonyms():
# synsets_definition.append((holonym,PARAMS.PARAMS_WN.HOLO))
#
# for example in synset.examples():
# for lemma in synset.lemmas():
# example = example.replace(lemma.name(), "")
# nouns = PreprocessDefinition.preprocess_sentence(example)
# nouns = list(set(nouns))
# for noun in nouns:
# synset_max = get_greatest_synset_similarity_between(synset, noun)
# if synset_max is not None:
# synsets_definition.append((synset_max,PARAMS.PARAMS_WN.EX))
#
synsets_definition.append((synset,PARAMS.PARAMS_WN.MAIN))
__dict_feature_for_synset[key] = synsets_definition
return __dict_feature_for_synset[key]
def get_value_synset_for(cur_synset, synsets):
synsets_value = []
definition = cur_synset.definition()
nouns = PreprocessDefinition.preprocess_sentence(definition)
# nouns = list(set(nouns))
for synset in synsets:
count = 0
p = 0
for noun in nouns:
synset_max = get_greatest_synset_similarity_between(synset, noun)
if synset_max is not None:
count += 1
sim = WordnetHandler.cal_similarity(synset, synset_max)
if sim != None:
p += sim
if count != 0:
p = p/count
synsets_value.append(p)
return synsets_value
def get_definition_value_with_synsetwn(definition, synsets_wn):
synsets_value = []
# nouns = PreprocessDefinition.preprocess_sentence_to_nouns(definition)
nouns = PreprocessDefinition.preprocess_sentence(definition)
# nouns = list(set(nouns))
for synset in synsets_wn:
count = 0
p = 0
for noun in nouns:
synset_max = get_greatest_synset_similarity_between([synset], noun)
if synset_max is not None:
count += 1
sim = WordnetHandler.cal_similarity(synset, synset_max)
if sim != None:
p += sim
if count != 0:
p = p/count
synsets_value.append(p)
return synsets_value
