"a", "an", "the", "of", "at", "on", "upon", "in", "to", "from", "out", "as", "so",
"such", "or", "and", "those", "this", "these", "that", "for", ",", "is", "was",
"am", "are", "'s", "been", "were"))
extended_stop_words = list_checker((
"the", "this", "mr.", "miss", "mrs.", "dr.", "ms.", "inc.", "ltd.", "corp.", "'s", ",", "."))
# , "..", "..", "-", "''", '"', "-"))
# all pronouns are added to stop_word
common_NE_subfixes = list_checker(("corp", "co", "inc", "ltd"))
non_words = list_checker(("mm", "hmm", "ahem", "um"))
_invalid = list_checker(("u.s.", "u.k", "u.s.s.r.", "there", "ltd."))
_invalid_start_word_a = matcher("'s.*")
_invalid_start_word_b = matcher("etc.*")
_invalid_end_a = matcher(".*etc.")
invalid_words = lambda x: _invalid(x) or _invalid_end_a(x) or _invalid_start_word_a(x) or _invalid_start_word_b(x) \
or non_words(x)
location_modifiers = list_checker(("east", "west", "north", "south", "eastern", "western", "northern", "southern",
"upper", "lower"))
unreliable = list_checker(("this",))
speaking_begin = list_checker(("``",))
speaking_end = list_checker(("''",))
speaking_ambiguous = list_checker(('"',))
# coding=utf-8
from corefgraph.resources.lambdas import list_checker, equality_checker, matcher, fail
__author__ = 'Josu Bermudez <*****@*****.**>'
# Is a root constituent
root = list_checker(("root", "top", "ROOT", "TOP"))
# Is a clause
clause = matcher("^S")
# Is a Noun phrase
noun_phrase = equality_checker("NP")
# Is a Noun phrase
#prepositional_phrase = equality_checker("SP")
# Is a Verb phrase
verb_phrase = equality_checker("VP")
# Is a particle constituent
particle_constituent = equality_checker("PRT")
# Is an interjection constituent
past_participle_verb = equality_checker("VBN")
# Is an interjection constituent
interjection = equality_checker("INTJ")
# Is a simple or subordinated clause
# Is a Verb phrase
verb_phrase = equality_checker("VP")
# Is a Adverbial phrase
adverbial_phrase = fail()
# Is a complement direct
complement_direct = list_checker(("CD", ))
# Is a particle constituent
particle_constituent = fail()
# Is a past_participle verb constituent
past_participle_verb = equality_checker("VBN")
# Is an interjection constituent
interjection = fail()
# Is a NER annotated into semantic tree
ner_constituent = fail()
preposition = fail()
enumerable = noun_phrase
head_rules = noun_phrase
# The mention is a plausible constituent
mention_constituents = matcher("NP.*")
# from Freeling dict PI.*
indefinite = list_checker(
('quelcom', 'algú', 'alguna', 'algunes', 'algun', 'alguns', 'ambdues',
'ambdós', 'bastant', 'bastants', 'qualssevol', 'qualsevol', 'altres',
'massa', 'mitja', 'mitjans', 'mateixa', ' mateixes ', ' mateix ',
'mateixos', 'molta', 'moltes', 'molt', 'molts', 'res', 'ningú', 'cap',
'gens', 'ningú', 'ninguns', 'altres', 'altre', 'poca', 'poques', 'poc',
'pocs', 'qualsevol', 'tantes', 'tanta', 'tants', 'tant', 'totes', 'tota',
'tots', 'tot', 'unes', 'una', 'uns', 'un', 'diverses', 'diversos'))
# from Freeling dict PR.*
relative = list_checker(('on', 'com', 'qui', 'quins', 'quan', 'quanta',
'quantes', 'quants', 'que', 'qui', 'quins'))
reflexive = matcher(r'^[^\s]* mism(o|a)s?$')
no_organization = fail()
first_person = list_checker(
("em", "meva", "meves", "me", "meu", "meu", "meus", "meues", "ens", "ens",
"nosaltres", "nosaltres", "nostra", "nostres", "nostre", "jo"))
second_person = list_checker(
("us", "et", "tu", "teves", "teva", "teus", "teu", "teues", "vostès",
"vostè", "vosaltres", "vós", "vostres", "vostra", "vostres", "vostre"))
third_person = list_checker(
("ell", "ella", "elles", "ells", "la", "les", "li", "els", "el", "seves",
"seva", "seus", "seu", "seues"))
# coding=utf-8
from corefgraph.resources.lambdas import equality_checker, matcher, fail
__author__ = ''
# Features questions
female = matcher(".*FEM.*")
male = matcher(".*MASC*")
neutral = fail()
singular = matcher(".*SING.*")
plural = matcher(".*PLUR.*")
animate = fail()
inanimate = fail()
# Adjectives
adjective = matcher("^ADJ.*")
# Pronouns
pronoun = matcher("^PRON.*")
personal_pronoun = matcher("^PRON.*PRS.*")
relative_pronoun = matcher("^PRON.*REL.*")
interrogative_pronoun = matcher("^PRON.*INT.*")
mention_pronoun = lambda x: relative_pronoun(x) or personal_pronoun(x)
# Nouns
singular_common_noun = matcher("^NOUN.*SING.*")
plural_common_noun = matcher("^NOUN.*PLUR.*")
from corefgraph.resources.lambdas import equality_checker, fail, matcher
__author__ = 'Valeria Quochi <*****@*****.**>'
__date__ = '5/16/2013'
# features questions
female = fail()
male = fail()
neutral = fail()
singular = equality_checker("^NOU_CS")
plural = equality_checker("^NOU_CP")
animate = fail()
inanimate = fail()
# Adjectives
adjective = matcher("^ADJ.*")
# pronouns
personal_pronoun = matcher("^PRO~PE")
relative_pronoun = matcher("^PRO~RE")
pronoun = matcher("^PRO")
mention_pronoun = lambda x: relative_pronoun(x) or personal_pronoun(x)
singular_common_noun = equality_checker("^NOU_CS")
plural_common_noun = equality_checker("^NOU_CP")
proper_noun = matcher("^NOU~PR")
noun = matcher("^NOU.*")
verbs = matcher("^V.*")
modals = equality_checker("^VMO.*")
mod_forms = lambda x: singular_common_noun(x) or plural_common_noun(
# coding=utf-8 from corefgraph.resources.lambdas import equality_checker, matcher, fail __author__ = 'Josu Bermudez <*****@*****.**>' # Features questions female = matcher(r"^[ADP]..F|^N.F|^V.....F") male = matcher(r"^[ADPS]..M|^N.M|^V.....M") neutral = matcher(r"^[ADP]..N") singular = matcher(r"^[ADPS]...S|^N..S|^V....S") plural = matcher(r"^[ADPS]...P|^N..P|^V....P") animate = fail() inanimate = fail() # Adjectives adjective = matcher(r"^A") # Pronouns pronoun = matcher(r"^D?P") personal_pronoun = matcher(r"^PP") relative_pronoun = matcher(r"^PR") interrogative_pronoun = matcher(r"^PT") mention_pronoun = matcher(r"P[PXRL]|^DP") # Nouns singular_common_noun = matcher(r"^NC.S") plural_common_noun = matcher(r"^NC.P")
# pronouns
personal_pronoun = list_checker((_personal_pronoun, _possessive_pronoun))
relative_pronoun = list_checker((_wh_pronoun, _wh_possessive_pronoun))
pronoun = list_checker((_personal_pronoun, _possessive_pronoun, _wh_pronoun,
_wh_possessive_pronoun))
mention_pronoun = lambda x: relative_pronoun(x) or personal_pronoun(x)
singular_common_noun = equality_checker(_noun)
plural_common_noun = equality_checker(_noun_plural)
proper_noun = list_checker((_proper_noun, _proper_noun_plural))
noun = lambda x: singular_common_noun(x) or plural_common_noun(
x) or proper_noun(x)
verbs = list_checker(_verbs_list)
modals = equality_checker(_modal)
mod_forms = lambda x: singular_common_noun(x) or plural_common_noun(
x) or adjective(x) or verbs(x) or cardinal(x)
indefinite = fail()
# enumerations
enumerable_mention_words = list_checker(("NOU~PR", "NOU~PR"))
conjunction = equality_checker(_conjunctions)
interjections = equality_checker(_interjection)
cardinal = equality_checker("CD")
wh_words = list_checker(
(_wh_pronoun, _wh_possessive_pronoun, _wh_determiner, _wh_adverb))
head_rules = matcher("#^NOU.*")
determinant = fail() # TODO
# coding=utf-8 """ Ancora POS tag checkers. Each elements in this module is a function that check if a POS tag. Elements starting with _ is only for internal use. """ from corefgraph.resources.lambdas import fail, matcher __author__ = 'Josu Bermudez <*****@*****.**>' _pronouns = matcher(r"pos=p") _possessive = matcher(r".*postype=possessive") _relative = matcher(r".*postype=relative") _personal = matcher(r".*postype=personal") _personal_pronouns = lambda x: _pronouns(x) and _personal(x) # features questions male = matcher(r".*gen=m") female = matcher(r".*gen=f") neutral = matcher(r".*gen=n") singular = matcher(r".*num=s") plural = matcher(r".*num=p") animate = fail() inanimate = fail() # Adecjtives adjectives = matcher(r"pos=a")
_proper_noun_plural = "NNPS"
_adjective = "JJ"
_adjective_comparative = "JJR"
_adjective_superlative = "JJS"
_conjunction = ("CC", )
# comma = equality_checker(",")
# Features questions
female = fail()
male = fail()
neutral = fail()
singular = matcher("^NNP?$")
plural = matcher("^NNP?S$")
animate = fail()
inanimate = fail()
# Adjectives
adjective = list_checker((_adjective, ))
# Pronouns
pronoun = list_checker((_personal_pronoun, _possessive_pronoun, _wh_pronoun,
_wh_possessive_pronoun))
relative_pronoun = list_checker((_wh_pronoun, _wh_possessive_pronoun))
mention_pronoun = matcher("^PRP")
# Nouns