File size: 7,733 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 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 | # -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project
# SPDX-FileType: SOURCE
# SPDX-License-Identifier: Apache-2.0
import unittest
import torch
from pythainlp.corpus import remove
from pythainlp.transliterate import pronunciate, puan, romanize, transliterate
from pythainlp.transliterate.ipa import trans_list, xsampa_list
from pythainlp.transliterate.thai2rom import ThaiTransliterator
from pythainlp.transliterate.thai2rom_onnx import ThaiTransliterator_ONNX
from pythainlp.transliterate.wunsen import WunsenTransliterate
class TransliterateTestCaseX(unittest.TestCase):
def test_romanize(self):
self.assertEqual(romanize("แมว", engine="tltk"), "maeo")
def test_romanize_thai2rom(self):
self.assertEqual(romanize("แมว", engine="thai2rom"), "maeo")
self.assertEqual(romanize("บ้านไร่", engine="thai2rom"), "banrai")
self.assertEqual(romanize("สุนัข", engine="thai2rom"), "sunak")
self.assertEqual(romanize("นก", engine="thai2rom"), "nok")
self.assertEqual(romanize("ความอิ่ม", engine="thai2rom"), "khwam-im")
self.assertEqual(
romanize("กานต์ ณรงค์", engine="thai2rom"), "kan narong"
)
self.assertEqual(romanize("สกุนต์", engine="thai2rom"), "sakun")
self.assertEqual(romanize("ชารินทร์", engine="thai2rom"), "charin")
def test_romanize_thai2rom_onnx(self):
self.assertEqual(romanize("แมว", engine="thai2rom_onnx"), "maeo")
self.assertEqual(romanize("บ้านไร่", engine="thai2rom_onnx"), "banrai")
self.assertEqual(romanize("สุนัข", engine="thai2rom_onnx"), "sunak")
self.assertEqual(romanize("นก", engine="thai2rom_onnx"), "nok")
self.assertEqual(
romanize("ความอิ่ม", engine="thai2rom_onnx"), "khwam-im"
)
self.assertEqual(
romanize("กานต์ ณรงค์", engine="thai2rom_onnx"), "kan narong"
)
self.assertEqual(romanize("สกุนต์", engine="thai2rom_onnx"), "sakun")
self.assertEqual(romanize("ชารินทร์", engine="thai2rom_onnx"), "charin")
def test_romanize_lookup(self):
self.assertEqual(
romanize("ความอิ่ม", engine="lookup", fallback_engine="thai2rom"),
"khwam-im",
)
self.assertEqual(
romanize("สามารถ", engine="lookup", fallback_engine="thai2rom"),
"samat",
)
def test_thai2rom_prepare_sequence(self):
transliterater = ThaiTransliterator()
UNK_TOKEN = 1 # UNK_TOKEN or <UNK> is represented by 1
END_TOKEN = 3 # END_TOKEN or <end> is represented by 3
self.assertListEqual(
transliterater._prepare_sequence_in("A")
.cpu()
.detach()
.numpy()
.tolist(),
torch.tensor([UNK_TOKEN, END_TOKEN], dtype=torch.long)
.cpu()
.detach()
.numpy()
.tolist(),
)
self.assertListEqual(
transliterater._prepare_sequence_in("♥")
.cpu()
.detach()
.numpy()
.tolist(),
torch.tensor([UNK_TOKEN, END_TOKEN], dtype=torch.long)
.cpu()
.detach()
.numpy()
.tolist(),
)
self.assertNotEqual(
transliterater._prepare_sequence_in("ก")
.cpu()
.detach()
.numpy()
.tolist(),
torch.tensor([UNK_TOKEN, END_TOKEN], dtype=torch.long)
.cpu()
.detach()
.numpy()
.tolist(),
)
def test_thai2rom_onnx_prepare_sequence(self):
transliterater = ThaiTransliterator_ONNX()
UNK_TOKEN = 1 # UNK_TOKEN or <UNK> is represented by 1
END_TOKEN = 3 # END_TOKEN or <end> is represented by 3
self.assertListEqual(
transliterater._prepare_sequence_in("A").tolist(),
torch.tensor([UNK_TOKEN, END_TOKEN], dtype=torch.long)
.cpu()
.detach()
.numpy()
.tolist(),
)
self.assertListEqual(
transliterater._prepare_sequence_in("♥").tolist(),
torch.tensor([UNK_TOKEN, END_TOKEN], dtype=torch.long)
.cpu()
.detach()
.numpy()
.tolist(),
)
self.assertNotEqual(
transliterater._prepare_sequence_in("ก").tolist(),
torch.tensor([UNK_TOKEN, END_TOKEN], dtype=torch.long)
.cpu()
.detach()
.numpy()
.tolist(),
)
def test_transliterate(self):
self.assertEqual(transliterate("แมว", "pyicu"), "mæw")
self.assertEqual(transliterate("คน", engine="ipa"), "kʰon")
self.assertIsNotNone(transliterate("คน", engine="thaig2p"))
self.assertIsNotNone(transliterate("แมว", engine="thaig2p"))
self.assertIsNotNone(transliterate("คน", engine="thaig2p_v2"))
self.assertIsNotNone(transliterate("แมว", engine="thaig2p_v2"))
self.assertIsNotNone(transliterate("คน", engine="tltk_g2p"))
self.assertIsNotNone(transliterate("แมว", engine="tltk_g2p"))
self.assertIsNotNone(transliterate("คน", engine="tltk_ipa"))
self.assertIsNotNone(transliterate("แมว", engine="tltk_ipa"))
self.assertIsNotNone(trans_list("คน"))
self.assertIsNotNone(xsampa_list("คน"))
def test_transliterate_wunsen(self):
wt = WunsenTransliterate()
self.assertEqual(wt.transliterate("ohayō", lang="jp"), "โอฮาโย")
self.assertEqual(
wt.transliterate(
"ohayou", lang="jp", jp_input="Hepburn-no diacritic"
),
"โอฮาโย",
)
self.assertEqual(
wt.transliterate("ohayō", lang="jp", system="RI35"), "โอะฮะโย"
)
self.assertEqual(
wt.transliterate("annyeonghaseyo", lang="ko"), "อันนย็องฮาเซโย"
)
self.assertEqual(wt.transliterate("xin chào", lang="vi"), "ซีน จ่าว")
self.assertEqual(wt.transliterate("ni3 hao3", lang="zh"), "หนี เห่า")
self.assertEqual(
wt.transliterate("ni3 hao3", lang="zh", zh_sandhi=False),
"หนี่ เห่า",
)
self.assertEqual(
wt.transliterate("ni3 hao3", lang="zh", system="RI49"), "หนี ห่าว"
)
with self.assertRaises(NotImplementedError):
wt.transliterate("xin chào", lang="vii")
def test_pronunciate(self):
self.assertEqual(pronunciate(""), "")
remove("thai_w2p")
self.assertIsNotNone(pronunciate("คน", engine="w2p"))
self.assertIsNotNone(pronunciate("แมว", engine="w2p"))
self.assertIsNotNone(pronunciate("มข.", engine="w2p"))
self.assertIsNotNone(pronunciate("มช.", engine="w2p"))
self.assertIsNotNone(pronunciate("jks", engine="w2p"))
def test_puan(self):
self.assertEqual(puan("แมว"), "แมว")
self.assertEqual(puan("นาริน"), "นิน-รา")
self.assertEqual(puan("นาริน", show_pronunciation=False), "นินรา")
self.assertEqual(
puan("การทำความดี", show_pronunciation=False), "ดานทำความกี"
)
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