# -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: 2016-2024 PyThaiNLP Project
# SPDX-License-Identifier: Apache-2.0
from pythainlp import thai_consonants
from pythainlp.transliterate import pronunciate
_list_consonants = list(thai_consonants.replace("ห", ""))
[docs]
def puan(word: str, show_pronunciation: bool = True) -> str:
"""
Thai Spoonerism
This function converts Thai word to spoonerism word.
:param str word: Thai word to be spoonerized
:param bool show_pronunciation: True (default) or False
:return: A string of Thai spoonerism word.
:rtype: str
:Example:
::
from pythainlp.transliterate import puan
puan("นาริน")
# output: 'นิน-รา'
puan("นาริน", False)
# output: 'นินรา'
"""
word = pronunciate(word, engine="w2p")
_list_char = []
_list_pron = word.split("-")
_mix_list = ""
if len(_list_pron) == 1:
return word
if show_pronunciation:
_mix_list = "-"
for i in _list_pron:
for j in i:
if j in _list_consonants:
_list_char.append(j)
break
elif "ห" == j and "หฺ" not in i and len(i) == 2:
_list_char.append(j)
break
list_w_char = list(zip(_list_pron, _list_char))
_list_w = []
if len(list_w_char) == 2:
_list_w.append(
list_w_char[1][0].replace(list_w_char[1][1], list_w_char[0][1], 1)
)
_list_w.append(
list_w_char[0][0].replace(list_w_char[0][1], list_w_char[1][1], 1)
)
elif len(list_w_char) == 3:
_list_w.append(_list_pron[0])
_list_w.append(
list_w_char[2][0].replace(list_w_char[2][1], list_w_char[1][1], 1)
)
_list_w.append(
list_w_char[1][0].replace(list_w_char[1][1], list_w_char[2][1], 1)
)
else: # > 3 syllables
_list_w.append(
_list_pron[0].replace(list_w_char[0][1], list_w_char[-1][1], 1)
)
for i in range(1, len(list_w_char) - 1):
_list_w.append(_list_pron[i])
_list_w.append(
_list_pron[-1].replace(list_w_char[-1][1], list_w_char[0][1], 1)
)
if not show_pronunciation:
_list_w = [i.replace("หฺ", "").replace("ฺ", "") for i in _list_w]
return _mix_list.join(_list_w)