-
Notifications
You must be signed in to change notification settings - Fork 272
/
attacut.py
44 lines (33 loc) · 1.28 KB
/
attacut.py
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
# -*- coding: utf-8 -*
# SPDX-FileCopyrightText: 2016-2024 PyThaiNLP Project
# 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)