spaCy/spacy/lang/vi/lex_attrs.py
Daniël de Kok e2b70df012
Configure isort to use the Black profile, recursively isort the spacy module (#12721)
* Use isort with Black profile

* isort all the things

* Fix import cycles as a result of import sorting

* Add DOCBIN_ALL_ATTRS type definition

* Add isort to requirements

* Remove isort from build dependencies check

* Typo
2023-06-14 17:48:41 +02:00

46 lines
1.4 KiB
Python

from ...attrs import LIKE_NUM
_num_words = [
"không", # Zero
"một", # One
"mốt", # Also one, irreplacable in niché cases for unit digit such as "51"="năm mươi mốt"
"hai", # Two
"ba", # Three
"bốn", # Four
"", # Also four, used in certain cases for unit digit such as "54"="năm mươi tư"
"năm", # Five
"lăm", # Also five, irreplacable in niché cases for unit digit such as "55"="năm mươi lăm"
"sáu", # Six
"bảy", # Seven
"bẩy", # Also seven, old fashioned
"tám", # Eight
"chín", # Nine
"mười", # Ten
"chục", # Also ten, used for counting in tens such as "20 eggs"="hai chục trứng"
"trăm", # Hundred
"nghìn", # Thousand
"ngàn", # Also thousand, used in the south
"vạn", # Ten thousand
"triệu", # Million
"tỷ", # Billion
"tỉ", # Also billion, used in combinatorics such as "tỉ_phú"="billionaire"
]
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
if text.lower() in _num_words:
return True
return False
LEX_ATTRS = {LIKE_NUM: like_num}