def __init__(self, nlp): pattern = [{'POS': 'NOUN'}, {'IS_PUNCT': True, 'OP': '?'}, {'LOWER': 'including'}, {'POS': 'NOUN'}] self.__matcherId = "including" PatternMatcher.__init__(self, pattern, nlp, self.__matcherId)
def __init__(self, nlp): pattern = [ {'POS': 'NOUN'}, {'Lower': 'and'}, {'Lower': 'other'}, {'POS': 'NOUN'}, ] self.__matcherId = "andOther" PatternMatcher.__init__(self, pattern, nlp, self.__matcherId)
def __init__(self, nlp): pattern = [ {'POS': 'NOUN'}, {'IS_PUNCT': True, 'OP': '?'}, {'LOWER': 'especially'}, {'POS': 'NOUN'}, ] self.__matcherId = 'especially' PatternMatcher.__init__(self, pattern, nlp, self.__matcherId)
def __init__(self, nlp): pattern = [{ 'POS': 'NOUN' }, { 'LOWER': 'and' }, { 'LOWER': 'other' }, { 'POS': 'NOUN' }] PatternMatcher.__init__(self, pattern, nlp, "andOther")
def __init__(self, nlp): pattern = [{ 'POS': 'NOUN' }, { 'IS_PUNCT': True, 'OP': '?' }, { 'LOWER': 'such' }, { 'LOWER': 'as' }, { 'POS': 'NOUN' }] PatternMatcher.__init__(self, pattern, nlp, "suchAs")
def __init__(self, nlp): ''' "look for structures containing 4 words: 1. the first word is a NOUN (POS stands for Part-Of-Speech), 2. second word is <<and>>, 3. third is <<other>> 4. and the last word is also a Noun". ''' pattern = [{ 'POS': 'NOUN' }, { 'LOWER': 'and' }, { 'LOWER': 'other' }, { 'POS': 'NOUN' }] PatternMatcher.__init__(self, pattern, nlp, "andOther")