spaCy/spacy/lang/lg/lex_attrs.py

96 lines
2.6 KiB
Python

from ...attrs import LIKE_NUM
_num_words = [
"nnooti", # Zero
"zeero", # zero
"emu", # one
"bbiri", # two
"ssatu", # three
"nnya", # four
"ttaano", # five
"mukaaga", # six
"musanvu", # seven
"munaana", # eight
"mwenda", # nine
"kkumi", # ten
"kkumi n'emu", # eleven
"kkumi na bbiri", # twelve
"kkumi na ssatu", # thirteen
"kkumi na nnya", # forteen
"kkumi na ttaano", # fifteen
"kkumi na mukaaga", # sixteen
"kkumi na musanvu", # seventeen
"kkumi na munaana", # eighteen
"kkumi na mwenda", # nineteen
"amakumi abiri", # twenty
"amakumi asatu", # thirty
"amakumi ana", # forty
"amakumi ataano", # fifty
"nkaaga", # sixty
"nsanvu", # seventy
"kinaana", # eighty
"kyenda", # ninety
"kikumi", # hundred
"lukumi", # thousand
"kakadde", # million
"kawumbi", # billion
"kase", # trillion
"katabalika", # quadrillion
"keesedde", # gajillion
"kafukunya", # bazillion
"ekisooka", # first
"ekyokubiri", # second
"ekyokusatu", # third
"ekyokuna", # fourth
"ekyokutaano", # fifith
"ekyomukaaga", # sixth
"ekyomusanvu", # seventh
"eky'omunaana", # eighth
"ekyomwenda", # nineth
"ekyekkumi", # tenth
"ekyekkumi n'ekimu", # eleventh
"ekyekkumi n'ebibiri", # twelveth
"ekyekkumi n'ebisatu", # thirteenth
"ekyekkumi n'ebina", # fourteenth
"ekyekkumi n'ebitaano", # fifteenth
"ekyekkumi n'omukaaga", # sixteenth
"ekyekkumi n'omusanvu", # seventeenth
"ekyekkumi n'omunaana", # eigteenth
"ekyekkumi n'omwenda", # nineteenth
"ekyamakumi abiri", # twentieth
"ekyamakumi asatu", # thirtieth
"ekyamakumi ana", # fortieth
"ekyamakumi ataano", # fiftieth
"ekyenkaaga", # sixtieth
"ekyensanvu", # seventieth
"ekyekinaana", # eightieth
"ekyekyenda", # ninetieth
"ekyekikumi", # hundredth
"ekyolukumi", # thousandth
"ekyakakadde", # millionth
"ekyakawumbi", # billionth
"ekyakase", # trillionth
"ekyakatabalika", # quadrillionth
"ekyakeesedde", # gajillionth
"ekyakafukunya", # bazillionth
]
def like_num(text):
if text.startswith(("+", "-", "±", "~")):
text = text[1:]
text = text.replace(",", "").replace(".", "")
if text.isdigit():
return True
if text.count("/") == 1:
num, denom = text.split("/")
if num.isdigit() and denom.isdigit():
return True
text_lower = text.lower()
if text_lower in _num_words:
return True
return False
LEX_ATTRS = {LIKE_NUM: like_num}