File size: 2,090 Bytes
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 | # -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project
# SPDX-FileType: SOURCE
# SPDX-License-Identifier: Apache-2.0
import unittest
import nltk
from pythainlp.augment import WordNetAug
# from pythainlp.augment.lm import Thai2transformersAug
# from pythainlp.augment.lm.phayathaibert import ThaiTextAugmenter
from pythainlp.augment.word2vec import LTW2VAug
from pythainlp.augment.word2vec.bpemb_wv import BPEmbAug
from pythainlp.augment.wordnet import postype2wordnet
class AugmentTestCaseX(unittest.TestCase):
def setUp(self):
self.text = "เรารักคุณมากที่สุดในโลก"
self.text2 = "เราอยู่ที่มหาวิทยาลัยขอนแก่น"
def test_WordNetAug(self):
nltk.download('omw-1.4', force=True) # load wordnet
wordnetaug = WordNetAug()
self.assertIsNotNone(wordnetaug.augment(self.text))
self.assertIsNotNone(wordnetaug.find_synonyms("ผม", pos=None))
self.assertIsNotNone(wordnetaug.augment(self.text, postag=False))
self.assertIsNone(postype2wordnet('n', 'abc'))
self.assertIsNotNone(postype2wordnet('NOUN', 'orchid'))
# def test_Thai2fitAug(self):
# _aug = Thai2fitAug()
# self.assertIsNotNone(_aug.tokenizer(self.text))
# self.assertIsNotNone(_aug.augment(self.text, n_sent=3, p=0.5))
def test_BPEmbAug(self):
_aug = BPEmbAug()
self.assertIsNotNone(_aug.tokenizer(self.text))
self.assertIsNotNone(_aug.augment(self.text, n_sent=3, p=0.5))
def test_LTW2VAug(self):
_aug = LTW2VAug()
self.assertIsNotNone(_aug.tokenizer(self.text))
self.assertIsNotNone(_aug.augment(self.text, n_sent=3, p=0.5))
# def test_Thai2transformersAug(self):
# _aug = Thai2transformersAug()
# self.assertIsNotNone(_aug.augment(self.text2, num_replace_tokens=1))
# def test_ThaiTextAugmenter(self):
# _aug = ThaiTextAugmenter()
# self.assertIsNotNone(_aug.augment(self.text2, num__augs=3))
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