File size: 5,627 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 | # -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project
# SPDX-FileType: SOURCE
# SPDX-License-Identifier: Apache-2.0
"""
Phonemes util
"""
import unicodedata
from pythainlp.tokenize import Tokenizer
from pythainlp.util.trie import Trie
consonants_ipa_nectec = [
("k", "k", "k^"),
("kʰ", "kh"),
("ŋ", "ng", "ng^"),
("tɕ", "c"),
("tɕʰ", "ch"),
("s", "s"),
("j", "j", "j^"),
("d", "d"),
("t", "y", "t^"),
("tʰ", "th"),
("n", "n", "n^"),
("b", "b"),
("p", "p", "p^"),
("pʰ", "ph"),
("f", "f"),
("m", "m", "m^"),
("r", "r"),
("l", "l"),
("w", "w", "w^"),
("h", "h"),
("?", "z", "z^"),
]
# ipa, initial, final
monophthong_ipa_nectec = [
("i", "i"),
("e", "e"),
("ɛ", "x"),
("ɤ", "q"),
("a", "a"),
("am", "am^"),
("aj", "aj^"),
("aw", "aw^"),
("u", "u"),
("o", "o"),
("ɔ", "@"),
("ii", "ii"),
("ee", "ee"),
("ɛɛ", "xx"),
("ɯɯ", "vv"),
("ɤɤ", "qq"),
("aa", "aa"),
("uu", "uu"),
("oo", "oo"),
("", "@@"), # -อ long
]
diphthong_ipa_nectec = [
("ia", "ia"),
("ɯa", "va"),
("ua", "ua"),
("iia", "iia"),
("ɯɯa", "vva"),
("uua", "uua"),
]
tones_ipa_nectec = [
("˧", "0"),
("˨˩", "1"),
("˥˩", "2"),
("˦˥", "3"),
("˩˩˦", "4"),
]
dict_nectec_to_ipa = {
i[1]: i[0]
for i in consonants_ipa_nectec
+ monophthong_ipa_nectec
+ diphthong_ipa_nectec
+ tones_ipa_nectec
}
dict_nectec_to_ipa.update(
{i[2]: i[0] for i in consonants_ipa_nectec if len(i) > 2}
)
def nectec_to_ipa(pronunciation: str) -> str:
"""
Convert NECTEC system to IPA system
:param str pronunciation: NECTEC phoneme
:return: IPA that is converted
:rtype: str
:Example:
::
from pythainlp.util import nectec_to_ipa
print(nectec_to_ipa("kl-uua-j^-2"))
# output : 'kl uua j ˥˩'
References
----------
Pornpimon Palingoon, Sumonmas Thatphithakkul. Chapter 4 Speech processing \
and Speech corpus. In: Handbook of Thai Electronic Corpus. \
1st ed. p. 122–56.
"""
parts = pronunciation.split("-")
ipa = []
for part in parts:
if part in dict_nectec_to_ipa.keys():
ipa.append(dict_nectec_to_ipa[part])
else:
ipa.append(part)
return " ".join(ipa)
dict_ipa_rtgs = {
"b": "b",
"d": "d",
"f": "f",
"h": "h",
# The conversion of j depends on its position in the syllable.
# But, unfortunately, the current implementation cannot handle both cases.
# To remove confusions without changing the behavior and breaking existing codes,
# it is suggested that the first key-value mapping of j be simply commented out,
# as it would be overridden by the second one and thus never take effect from the beginning.
# See #846 for a more detailed discussion: https://github.com/PyThaiNLP/pythainlp/issues/846
# "j":"y",
"k": "k",
"kʰ": "kh",
"l": "l",
"m": "m",
"n": "n",
"ŋ": "ng",
"p": "p",
"pʰ": "ph",
"r": "r",
"s": "s",
"t": "t",
"tʰ": "th",
"tɕ": "ch",
"tɕʰ": "ch",
"w": "w",
"ʔ": "",
"j": "i",
"a": "a",
"e": "e",
"ɛ": "ae",
"i": "i",
"o": "o",
"ɔ": "o",
"u": "u",
"ɯ": "ue",
"ɤ": "oe",
"aː": "a",
"eː": "e",
"ɛː": "ae",
"iː": "i",
"oː": "o",
"ɔː": "o",
"uː": "u",
"ɯː": "ue",
"ɤː": "oe",
"ia": "ia",
"ua": "ua",
"ɯa": "uea",
"aj": "ai",
"aw": "ao",
"ew": "eo",
"ɛw": "aeo",
"iw": "io",
"ɔj": "io",
"uj": "ui",
"aːj": "ai",
"aːw": "ao",
"eːw": "eo",
"ɛːw": "aeo",
"oːj": "oi",
"ɔːj": "oi",
"ɤːj": "oei",
"iaw": "iao",
"uaj": "uai",
"ɯaj": "ueai",
".": ".",
}
dict_ipa_rtgs_final = {"w": "o"}
trie = Trie(list(dict_ipa_rtgs.keys()) + list(dict_ipa_rtgs_final.keys()))
ipa_cut = Tokenizer(custom_dict=trie, engine="newmm")
def ipa_to_rtgs(ipa: str) -> str:
"""
Convert IPA system to The Royal Thai General System of Transcription (RTGS)
Docs: https://en.wikipedia.org/wiki/Help:IPA/Thai
:param str ipa: IPA phoneme
:return: The RTGS that is converted, according to rules listed in the Wikipedia page
:rtype: str
:Example:
::
from pythainlp.util import ipa_to_rtgs
print(ipa_to_rtgs("kluaj"))
# output : 'kluai'
"""
rtgs_parts = []
ipa_parts = ipa_cut.word_tokenize(ipa)
for i, ipa_part in enumerate(ipa_parts):
if i == len(ipa_parts) - 1 and ipa_part in list(dict_ipa_rtgs_final):
rtgs_parts.append(dict_ipa_rtgs_final[ipa_part])
elif ipa_part in list(dict_ipa_rtgs):
rtgs_parts.append(dict_ipa_rtgs[ipa_part])
else:
rtgs_parts.append(ipa_part)
rtgs = "".join(rtgs_parts)
rtgs = (
unicodedata.normalize("NFKD", rtgs)
.encode("ascii", "ignore")
.decode("utf-8")
)
return rtgs
def remove_tone_ipa(ipa: str) -> str:
"""
Remove Thai Tones from IPA system
:param str ipa: IPA phoneme
:return: IPA phoneme with tones removed
:rtype: str
:Example:
::
from pythainlp.util import remove_tone_ipa
print(remove_tone_ipa("laː˦˥.sa˨˩.maj˩˩˦"))
# output : laː.sa.maj
"""
_list_tone = ["˩˩˦", "˥˩", "˨˩", "˦˥", "˧"]
for tone in _list_tone:
ipa = ipa.replace(tone, "")
return ipa
|