| # -*- coding: utf-8 -* | |
| # SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project | |
| # SPDX-FileType: SOURCE | |
| # SPDX-License-Identifier: Apache-2.0 | |
| """ | |
| Wrapper for AttaCut - Fast and Reasonably Accurate Word Tokenizer for Thai | |
| :See Also: | |
| * `GitHub repository <https://github.com/PyThaiNLP/attacut>`_ | |
| """ | |
| from typing import List | |
| from attacut import Tokenizer | |
| class AttacutTokenizer: | |
| def __init__(self, model="attacut-sc"): | |
| self._MODEL_NAME = "attacut-sc" | |
| if model == "attacut-c": | |
| self._MODEL_NAME = "attacut-c" | |
| self._tokenizer = Tokenizer(model=self._MODEL_NAME) | |
| def tokenize(self, text: str) -> List[str]: | |
| return self._tokenizer.tokenize(text) | |
| def segment(text: str, model: str = "attacut-sc") -> List[str]: | |
| """ | |
| Wrapper for AttaCut - Fast and Reasonably Accurate Word Tokenizer for Thai | |
| :param str text: text to be tokenized to words | |
| :param str model: model of word tokenizer model | |
| :return: list of words, tokenized from the text | |
| :rtype: list[str] | |
| **Options for model** | |
| * *attacut-sc* (default) using both syllable and character features | |
| * *attacut-c* using only character feature | |
| """ | |
| if not text or not isinstance(text, str): | |
| return [] | |
| _tokenizer = AttacutTokenizer(model) | |
| return _tokenizer.tokenize(text) | |