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# -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project
# SPDX-FileType: SOURCE
# SPDX-License-Identifier: Apache-2.0
"""
Look up romanized Thai words in a predefined dictionary compiled by Wannaphong, 2022.
Wannaphong Phatthiyaphaibun. (2022).
wannaphong/thai-english-transliteration-dictionary: v1.4 (v1.4).
Zenodo. https://doi.org/10.5281/zenodo.6716672
"""
from typing import Callable, Optional
from pythainlp.corpus.th_en_translit import (
TRANSLITERATE_DICT,
TRANSLITERATE_EN,
TRANSLITERATE_FOLLOW_RTSG,
)
_TRANSLITERATE_IDX = 0
def follow_rtgs(text: str) -> Optional[bool]:
"""
Check if the `text` follows romanization defined by Royal Society of Thailand (RTGS).
:param str text: Text to look up. Must be a self-contained word.
:return: True if text follows the definition by RTGS, False otherwise.
`None` means unverified or unknown word.
:rtype: Optional[bool]
"""
try:
follow = TRANSLITERATE_DICT[text][TRANSLITERATE_FOLLOW_RTSG][
_TRANSLITERATE_IDX
]
except IndexError:
return None
else:
return follow
def _romanize(text: str, fallback_func: Callable[[str], str]) -> str:
"""
Romanize one word. Look up first, call `fallback_func` if not found.
"""
try:
# try to get 0-th idx of look up result, simply ignore other possible variations.
# not found means no mapping.
lookup = TRANSLITERATE_DICT[text][TRANSLITERATE_EN][_TRANSLITERATE_IDX]
except IndexError:
return fallback_func(text)
except TypeError as e:
raise TypeError(f"`fallback_engine` is not callable. {e}")
else:
return lookup
def romanize(text: str, fallback_func: Callable[[str], str]) -> str:
"""
Render Thai words in Latin alphabet by looking up
Thai-English transliteration dictionary.
:param str text: Thai text to be romanized
:param Callable[[str], str] fallback_func: Callable
:return: A string of Thai words rendered in the Latin alphabet
:rtype: str
"""
# split by whitespace. word_tokenizer may break text into subwords.
# e.g. กาแลกซี่ -> ["กา", "แลก", "ซี่"]
words = text.strip().split()
romanized_words = [_romanize(word, fallback_func) for word in words]
return " ".join(romanized_words)