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e4b9a7b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 | # -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project
# SPDX-FileType: SOURCE
# SPDX-License-Identifier: Apache-2.0
"""
Convert number in words to a computable number value
First version of the code adapted from Korakot Chaovavanich's notebook
https://colab.research.google.com/drive/148WNIeclf0kOU6QxKd6pcfwpSs8l-VKD#scrollTo=EuVDd0nNuI8Q
"""
import re
from typing import List
from pythainlp.corpus import thai_words
from pythainlp.tokenize import Tokenizer
_ptn_digits = r"(|หนึ่ง|เอ็ด|สอง|ยี่|สาม|สี่|ห้า|หก|เจ็ด|แปด|เก้า)"
_ptn_six_figures = (
rf"({_ptn_digits}แสน)?({_ptn_digits}หมื่น)?({_ptn_digits}พัน)?"
rf"({_ptn_digits}ร้อย)?({_ptn_digits}สิบ)?{_ptn_digits}?"
)
_ptn_thai_numerals = rf"(ลบ)?({_ptn_six_figures}ล้าน)*{_ptn_six_figures}"
_re_thai_numerals = re.compile(_ptn_thai_numerals)
_digits = {
# "ศูนย์" was excluded as a special case
"หนึ่ง": 1,
"เอ็ด": 1,
"สอง": 2,
"ยี่": 2,
"สาม": 3,
"สี่": 4,
"ห้า": 5,
"หก": 6,
"เจ็ด": 7,
"แปด": 8,
"เก้า": 9,
}
_powers_of_10 = {
"สิบ": 10,
"ร้อย": 100,
"พัน": 1000,
"หมื่น": 10000,
"แสน": 100000,
# "ล้าน" was excluded as a special case
}
_valid_tokens = (
set(_digits.keys()) | set(_powers_of_10.keys()) | {"ล้าน", "ลบ"}
)
_tokenizer = Tokenizer(custom_dict=_valid_tokens)
def _check_is_thainum(word: str):
for j in list(_digits.keys()):
if j in word:
return (True, "num")
for j in ["สิบ", "ร้อย", "พัน", "หมื่น", "แสน", "ล้าน", "จุด", "ลบ"]:
if j in word:
return (True, "unit")
return (False, None)
_dict_words = [i for i in list(thai_words()) if not _check_is_thainum(i)[0]]
_dict_words += list(_digits.keys())
_dict_words += ["สิบ", "ร้อย", "พัน", "หมื่น", "แสน", "ล้าน", "จุด"]
_tokenizer_thaiwords = Tokenizer(_dict_words)
def thaiword_to_num(word: str) -> int:
"""
Converts the spelled-out numerals in Thai scripts into an actual integer.
:param str word: Spelled-out numerals in Thai scripts
:return: Corresponding integer value of the input
:rtype: int
:Example:
::
from pythainlp.util import thaiword_to_num
thaiword_to_num("ศูนย์")
# output: 0
thaiword_to_num("สองล้านสามแสนหกร้อยสิบสอง")
# output: 2300612
"""
if not isinstance(word, str):
raise TypeError(f"The input must be a string; given {word!r}")
if not word:
raise ValueError("The input string cannot be empty")
if word == "ศูนย์":
return 0
if not _re_thai_numerals.fullmatch(word):
raise ValueError("The input string is not a valid Thai numeral")
tokens = _tokenizer.word_tokenize(word)
accumulated = 0
next_digit = 1
is_minus = False
if tokens[0] == "ลบ":
is_minus = True
tokens.pop(0)
for token in tokens:
if token in _digits:
next_digit = _digits[token]
elif token in _powers_of_10:
# Absent digit assumed 1 before all powers of 10 (except million)
accumulated += max(next_digit, 1) * _powers_of_10[token]
next_digit = 0
else: # token == "ล้าน"
# Absent digit assumed 0 before word million
accumulated = (accumulated + next_digit) * 1000000
next_digit = 0
# Cleaning up trailing digit
accumulated += next_digit
if is_minus:
accumulated = -accumulated
return accumulated
def _decimal_unit(words: list) -> float:
_num = 0.0
for i, v in enumerate(words):
_num += int(thaiword_to_num(v)) / (10 ** (i + 1))
return _num
def words_to_num(words: list) -> float:
"""
Thai Words to float
:param str text: Thai words
:return: float of words
:rtype: float
:Example:
::
from pythainlp.util import words_to_num
words_to_num(["ห้า", "สิบ", "จุด", "เก้า", "ห้า"])
# output: 50.95
"""
num = 0
if "จุด" not in words:
num = thaiword_to_num("".join(words))
else:
words_int = "".join(words[: words.index("จุด")])
words_float = words[words.index("จุด") + 1 :]
num = thaiword_to_num(words_int)
if num <= -1:
num -= _decimal_unit(words_float)
else:
num += _decimal_unit(words_float)
return num
def text_to_num(text: str) -> List[str]:
"""
Thai text to list of Thai words with floating point numbers
:param str text: Thai text with the spelled-out numerals
:return: list of Thai words with float values of the input
:rtype: List[str]
:Example:
::
from pythainlp.util import text_to_num
text_to_num("เก้าร้อยแปดสิบจุดเก้าห้าบาทนี่คือจำนวนทั้งหมด")
# output: ['980.95', 'บาท', 'นี่', 'คือ', 'จำนวน', 'ทั้งหมด']
text_to_num("สิบล้านสองหมื่นหนึ่งพันแปดร้อยแปดสิบเก้าบาท")
# output: ['10021889', 'บาท']
"""
_temp = _tokenizer_thaiwords.word_tokenize(text)
thainum = []
last_index = -1
list_word_new = []
for i, word in enumerate(_temp):
if (
_check_is_thainum(word)[0]
and last_index + 1 == i
and i + 1 == len(_temp)
):
thainum.append(word)
list_word_new.append(str(words_to_num(thainum)))
elif _check_is_thainum(word)[0] and last_index + 1 == i:
thainum.append(word)
last_index = i
elif _check_is_thainum(word)[0]:
thainum.append(word)
last_index = i
elif (
not _check_is_thainum(word)[0]
and last_index + 1 == i
and last_index != -1
):
list_word_new.append(str(words_to_num(thainum)))
thainum = []
list_word_new.append(word)
else:
list_word_new.append(word)
last_index = -1
return list_word_new
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