ai-content-maker/.venv/Lib/site-packages/g2pkk/g2pkk.py

171 lines
5.8 KiB
Python

# -*- coding: utf-8 -*-
import os, re, platform, sys, importlib
import subprocess
import nltk
from jamo import h2j
from nltk.corpus import cmudict
# For further info. about cmu dict, consult http://www.speech.cs.cmu.edu/cgi-bin/cmudict.
try:
nltk.data.find('corpora/cmudict.zip')
except LookupError:
nltk.download('cmudict')
from g2pkk.special import jyeo, ye, consonant_ui, josa_ui, vowel_ui, jamo, rieulgiyeok, rieulbieub, verb_nieun, balb, palatalize, modifying_rieul
from g2pkk.regular import link1, link2, link3, link4
from g2pkk.utils import annotate, compose, group, gloss, parse_table, get_rule_id2text
from g2pkk.english import convert_eng
from g2pkk.numerals import convert_num
class G2p(object):
def __init__(self):
self.check_mecab()
self.mecab = self.get_mecab()
self.table = parse_table()
self.cmu = cmudict.dict() # for English
self.rule2text = get_rule_id2text() # for comments of main rules
self.idioms_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), "idioms.txt")
def load_module_func(self, module_name):
tmp = __import__(module_name, fromlist=[module_name])
return tmp
def check_mecab(self):
if platform.system()=='Windows':
spam_spec = importlib.util.find_spec("eunjeon")
non_found = spam_spec is None
if non_found:
print(f'you have to install eunjeon. install it...')
p = subprocess.Popen('pip install eunjeon')
p.wait()
else:
spam_spec = importlib.util.find_spec("mecab")
non_found = spam_spec is None
if non_found:
print(f'you have to install python-mecab-ko. install it...')
p = subprocess.Popen([sys.executable, "-m", "pip", "install", 'python-mecab-ko'])
p.wait()
def get_mecab(self):
if platform.system() == 'Windows':
try:
m = self.load_module_func('eunjeon')
return m.Mecab()
except Exception as e:
raise print(f'you have to install eunjeon. "pip install eunjeon"')
else:
try:
m = self.load_module_func('mecab')
return m.MeCab()
except Exception as e:
print(f'you have to install python-mecab-ko. "pip install python-mecab-ko"')
def idioms(self, string, descriptive=False, verbose=False):
'''Process each line in `idioms.txt`
Each line is delimited by "===",
and the left string is replaced by the right one.
inp: input string.
descriptive: not used.
verbose: boolean.
>>> idioms("지금 mp3 파일을 다운받고 있어요")
지금 엠피쓰리 파일을 다운받고 있어요
'''
rule = "from idioms.txt"
out = string
with open(self.idioms_path, 'r', encoding="utf8") as f:
for line in f:
line = line.split("#")[0].strip()
if "===" in line:
str1, str2 = line.split("===")
out = re.sub(str1, str2, out)
gloss(verbose, out, string, rule)
return out
def __call__(self, string, descriptive=False, verbose=False, group_vowels=False, to_syl=True):
'''Main function
string: input string
descriptive: boolean.
verbose: boolean
group_vowels: boolean. If True, the vowels of the identical sound are normalized.
to_syl: boolean. If True, hangul letters or jamo are assembled to form syllables.
For example, given an input string "나의 친구가 mp3 file 3개를 다운받고 있다",
STEP 1. idioms
-> 나의 친구가 엠피쓰리 file 3개를 다운받고 있다
STEP 2. English to Hangul
-> 나의 친구가 엠피쓰리 파일 3개를 다운받고 있다
STEP 3. annotate
-> 나의/J 친구가 엠피쓰리 파일 3개/B를 다운받고 있다
STEP 4. Spell out arabic numbers
-> 나의/J 친구가 엠피쓰리 파일 세개/B를 다운받고 있다
STEP 5. decompose
-> 나의/J 친구가 엠피쓰리 파일 세개/B를 다운받고 있다
STEP 6-9. Hangul
-> 나의 친구가 엠피쓰리 파일 세개를 다운받꼬 읻따
'''
# 1. idioms
string = self.idioms(string, descriptive, verbose)
# 2 English to Hangul
string = convert_eng(string, self.cmu)
# 3. annotate
string = annotate(string, self.mecab)
# 4. Spell out arabic numbers
string = convert_num(string)
# 5. decompose
inp = h2j(string)
# 6. special
for func in (jyeo, ye, consonant_ui, josa_ui, vowel_ui, \
jamo, rieulgiyeok, rieulbieub, verb_nieun, \
balb, palatalize, modifying_rieul):
inp = func(inp, descriptive, verbose)
inp = re.sub("/[PJEB]", "", inp)
# 7. regular table: batchim + onset
for str1, str2, rule_ids in self.table:
_inp = inp
inp = re.sub(str1, str2, inp)
if len(rule_ids)>0:
rule = "\n".join(self.rule2text.get(rule_id, "") for rule_id in rule_ids)
else:
rule = ""
gloss(verbose, inp, _inp, rule)
# 8 link
for func in (link1, link2, link3, link4):
inp = func(inp, descriptive, verbose)
# 9. postprocessing
if group_vowels:
inp = group(inp)
if to_syl:
inp = compose(inp)
return inp
if __name__ == "__main__":
g2p = G2p()
g2p("나의 친구가 mp3 file 3개를 다운받고 있다")