def text2InstaDmSmiling(text):
EMOJI = '^_^'
little_dashes = "ゔがぎぐげござじずぜぞだぢづでどばびぶべぼ"
little_dashes_conv = "うかきくけこさしすせそたちつてとはひふへほ"
little_circle = "ぱぴぷぺぽ"
little_circle_conv = "はひふへほ"
small_letter = "ぁぃぅぇぉゃゅょっ"
small_letter_conv = "あいうえおやゆよつ"
little_dashes_dict = {}
for i in range(len(little_dashes)):
little_dashes_dict[little_dashes[i]] = little_dashes_conv[i] + EMOJI
little_circle_dict = {}
for i in range(len(little_circle)):
little_circle_dict[little_circle[i]] = little_circle_conv[i] + EMOJI
small_letter_dict = {}
for i in range(len(small_letter)):
small_letter_dict[small_letter[i]] = small_letter_conv[i] + EMOJI
kakasi.setMode('J', 'H')
kakasi.setMode('K', 'H')
conv = kakasi.getConverter()
text_hiragana = conv.do(text)
text_hiragana = text_hiragana.translate(str.maketrans(little_dashes_dict))
text_hiragana = text_hiragana.translate(str.maketrans(little_circle_dict))
text_hiragana = text_hiragana.translate(str.maketrans(small_letter_dict))
return text_hiragana
def calc_speak_time(df, kakasi, speaker_id=None):
"""
:param df: Pandas DataFrame
:param kakasi: Kakasi Instance
:param speaker_id: String
:return: Pandas DataFrame
"""
# ひらがなへのconverter準備
kakasi.setMode('J', 'H')
conv = kakasi.getConverter()
speak_scores = []
for i in df.index:
speak_time = float(df.end_time[i]) - float(df.start_time[i])
speak_length = len(conv.do(df.transcript[i]))
speak_score = speak_time / speak_length
speak_scores.append(speak_score)
df['speak_scores'] = speak_scores
if speaker_id is not None:
if speaker_id not in df.speaker.unique():
raise Exception(
str(speaker_id) + ' does not exist in speaker column ')
else:
df = df[df.speaker == str(speaker_id)]
df.reset_index(drop=True, inplace=True)
return df
def parse_topics(self, response):
# 全角をローマ字に変換してくれるコンバータ(pykakasi)を準備
from pykakasi import kakasi
kakasi = kakasi()
kakasi.setMode('H', 'a')
kakasi.setMode('K', 'a')
kakasi.setMode('J', 'a')
conv = kakasi.getConverter()
# アイテムクラス"birditem"に画像ファイルごとの情報を格納
jpgpath = response.xpath(
'//*[@id="contents"]/div[3]/div/p/img/@src').extract_first()
birditem = BirdfanItem()
# 画像ファイルを持つページのURL
birditem['url'] = response.url
# 画像ファイルを持つページのタイトル（人間向けのほう）
birditem['title'] = response.xpath(
'//*[@id="contents"]/div[3]/h2/a/text()').extract_first()
# 画像ファイルの野鳥の種別名（全角）をローマ字に変換して格納
birditem['birdname'] = conv.do(
response.xpath('//*[@id="contents"]/div[3]/div/div/h3/a/text()').
extract_first())
# 画像ファイルのURL
birditem['jpgurl'] = response.urljoin(jpgpath)
yield birditem
def run_kakasi(text_input):
global conv
if not conv:
# kakasi set up from the pip page for this module.
# using only setMode(J, a), (r, Hepburn) (s, False) opts
# is buggy ¯\_(ツ)_/¯
from pykakasi import kakasi
kakasi = kakasi()
kakasi.setMode("H", "a") # Hiragana to ascii, default: no conversion
kakasi.setMode("K", "a") # Katakana to ascii, default: no conversion
kakasi.setMode("J", "a") # Japanese to ascii, default: no conversion
kakasi.setMode("r", "Hepburn") # default: use Hepburn Roman table
kakasi.setMode("s", False) # add space, default: no separator
conv = kakasi.getConverter()
# Use mecab instead of kakasi's wakati feature
# to do spacing between Japanese kanji
# because mecab has better spacing prediction
spaced = mecab(text_input)
chars = spaced.split(' ')
def replacer(word):
return 'わ' if word == 'は' else word
spaced = ' '.join(list(map(replacer, chars)))
result = conv.do(spaced)
return result
def exchange_word(text):
kakasi.setMode("H", "a") # Hiragana to ascii
kakasi.setMode("K", "a") # Katakana to ascii
kakasi.setMode("J", "a") # Japanese(kanji) to ascii
conv = kakasi.getConverter()
result = conv.do(text)
return result
def readDict():
#日本語辞書（"./dictionary/nihongolist.xlsx"）の読み込み
#読み込んだあと、"dictionary"内にnihongolist.binaryfileでpickle保存する。
#２回目以降はnihongolist.binaryfileを読み込む。
#辞書を更新したあとは、nihongolist.binaryfileを削除してください。
if os.path.isfile('./dictionary/nihongolist.binaryfile'):
with open('./dictionary/nihongolist.binaryfile', 'rb') as web:
df = pickle.load(web)
else:
df=pd.read_excel("./dictionary/nihongolist.xlsx")
df["romaji"]="_"
df["score"]=0.000
from pykakasi import kakasi
kakasi = kakasi()
kakasi.setMode('H', 'a')
conv = kakasi.getConverter()
for n in range (len(df)):
#print(df.iat[n,1])
romaji=conv.do(df.iat[n,1])
romaji=romaji.replace("a","aaa").replace("i","iii").replace("u","uuu").replace("e","eee").replace("o","ooo")
df.iat[n,5]=romaji
#print(df.iat[n,5])
with open('./dictionary/nihongolist.binaryfile', 'wb') as web:
pickle.dump(df , web)
return df
#readDict()
def dialog_nlp(input_txt, version):
if version == 't5':
DIALOG_NLP_CONTAINER_NAME = "0e3490a65e84"
proc = subprocess.run(
f"docker start {DIALOG_NLP_CONTAINER_NAME}", shell=True)
with open("dialogue/t5/question/question.txt", "w") as question_txt:
question_txt.write(input_txt)
with open("intermediate/nlp_out.txt", "w") as output_txt:
# import os
# os.system(
# f"docker exec -w /t5 {DIALOG_NLP_CONTAINER_NAME} python3 test.py")
proc_1 = subprocess.run(
f"docker exec -w /t5 {DIALOG_NLP_CONTAINER_NAME} python3 test.py", shell=True, stdout=output_txt, text=True)
print(proc_1.stdout)
# TODO: text outprocess(extract only answer in english)
from pykakasi import kakasi
kakasi = kakasi()
kakasi.setMode('H', 'a')
kakasi.setMode('K', 'a')
kakasi.setMode('J', 'a')
conv = kakasi.getConverter()
with open("intermediate/nlp_out.txt", "r") as f:
responce = f.readlines()[1].replace(
"<pad>", '').replace('</s>', '')
print(responce)
responce = conv.do(responce)
print(responce)
with open("intermediate/nlp_out_fixed.txt", "w") as f:
f.write(
"jsut_ver1.1/onomatopee300/wav/ONOMATOPEE300_300.wav|"+responce[1:].replace('\n', '')+".|1")
def to_romaji(text_jpn):
text = ' '.join(tinysegmenter.tokenize(text_jpn))
kakasi.setMode("H", "a") # Hiragana ke romaji
kakasi.setMode("K", "a") # Katakana ke romaji
kakasi.setMode("J", "a") # Japanese ke romaji
kakasi.setMode("r", "Hepburn") # default: Hepburn Roman table\
convert = (kakasi.getConverter()).do(text)
return convert
def jp_to_romen(text):
kakasi.setMode('H', 'a')
kakasi.setMode('K', 'a')
kakasi.setMode('J', 'a')
conv = kakasi.getConverter()
answer = conv.do(text)
answer2 = answer.capitalize()
return answer2
def WordConvert(word):
from pykakasi import kakasi
kakasi = kakasi()
kakasi.setMode('J', 'H')
kakasi.setMode("K", "H")
conv = kakasi.getConverter()
return conv.do(word)
def to_katakana(self, text):
from pykakasi import kakasi
kakasi = kakasi()
kakasi.setMode('K', 'K')
kakasi.setMode('H', 'K')
kakasi.setMode('E', 'K')
kakasi.setMode('J', 'K')
kakasi.setMode('a', 'K')
converter = kakasi.getConverter()
return converter.do(text.decode('utf-8'))
def change_word(read_data):
from pykakasi import kakasi
kakasi = kakasi()
kakasi.setMode('H', 'a')
kakasi.setMode('K', 'a')
kakasi.setMode('J', 'a')
conv = kakasi.getConverter()
return conv.do(read_data)
def formats(key_world):
key_world = key_world.strip()
key_world = re.sub(r'[^\w\s]', '', key_world)
from pykakasi import kakasi
kakasi = kakasi()
kakasi.setMode('H', 'a')
kakasi.setMode('K', 'a')
kakasi.setMode('J', 'a')
conv = kakasi.getConverter()
key_world = conv.do(key_world)
return key_world
def get_reading_kakasi(word):
"""Gets reading for a given Japanese word by using kakasi. The reading in
hiragana is returned by this function."""
import pykakasi.kakasi as kakasi
kakasi = kakasi()
kakasi.setMode("J", "H")
kakasi.setMode("C", True) # default: Separator
kakasi.setMode("c", False) # default: no Capitalize
conv = kakasi.getConverter()
result = conv.do(word)
return result
def getConverter():
import sys # reload()之前必须要引入模块
reload(sys)
sys.setdefaultencoding('utf-8') # 防止UTF8出问题
from pykakasi import kakasi
kakasi = kakasi()
kakasi.setMode('H', 'a')
kakasi.setMode('K', 'a')
kakasi.setMode('J', 'a')
conv = kakasi.getConverter()
return conv
class Phrase(pygame.sprite.Sprite):
font = pygame.font.Font('migu-1m-regular.ttf', 32)
kakasi = kakasi()
kakasi.setMode("H", "a")
kakasi.setMode("K", "a")
kakasi.setMode("J", "a")
kakasi.setMode("r", "Kunrei")
conv = kakasi.getConverter()
def __init__(self, y, string):
pygame.sprite.Sprite.__init__(self, self.containers)
self.characters_roman = [c for c in self.conv.do(string)]
# 日本語/ローマ字のうち、より幅の大きい方に画像の幅を合わせる
character_size = self.font.size(
max(self.conv.do(string), string, key=lambda x: len(x)))
surface = pygame.Surface((character_size[0], character_size[1] * 2))
surface.set_colorkey((0, 0, 0))
self.characters = self.font.render(string, True, (1, 1, 1),
(255, 255, 255))
self.image = surface
self.rect = self.image.get_rect()
self.rect.midleft = (640, y)
self.speed = -2.0
# 文字列内の文字の参照位置
self.next_character_pos = 0
def update(self):
self.rect.move_ip(self.speed, 0)
self.image.fill((255, 255, 255))
self.image.blit(self.characters, (0, 0))
if len(self.characters_roman) == self.next_character_pos:
self.kill()
for i, c in enumerate(self.characters_roman):
if not c:
continue
self.image.blit(
self.font.render(c, True, (1, 1, 1), (255, 255, 255)),
(i * 16, 32))
if self.rect.right < 0:
self.rect.left = 640
def input(self, character):
if self.characters_roman[self.next_character_pos] == character:
self.characters_roman[self.next_character_pos] = ''
self.next_character_pos += 1
Explosion((self.rect.left + (self.next_character_pos * 16),
self.rect.centery))
def make_filename(title):
from pykakasi import kakasi, wakati
import zen2han
kakasi = kakasi()
kakasi.setMode("H", "a")
kakasi.setMode("K", "a")
kakasi.setMode("J", "a")
conv = kakasi.getConverter()
title = conv.do(title).replace(" ", "_")
return zen2han.zen2han(title)
def main():
kakasi.setMode('H', 'a')
kakasi.setMode('K', 'a')
kakasi.setMode('J', 'a')
conv = kakasi.getConverter()
with serial.Serial(port="/dev/tty.usbmodem141141", baudrate=9600, timeout=1) as device:
while True:
title = itunes.current_track.name.get()
artist = itunes.current_track.artist.get()
time = int(itunes.player_position.get())
minute = 0;
if time >= 60:
while time >= 60:
time = time - 60
minute = minute + 1
if minute < 10:
time_str = str(0)
elif minute == 0:
time_str = str(0) + str(0)
time_str = time_str + str(minute)
if time < 10:
time_str = time_str + str(0) + str(time)
else:
time_str = time_str + str(time)
else:
time_str = str(0) + str(0)
if time < 10:
time_str = time_str + str(0) + str(time)
else:
time_str = time_str + str(time)
sleep(0.5)
device.write(conv.do(title).encode(errors="ignore") + '\n')
device.write(conv.do(artist).encode(errors="ignore") + '\n')
device.write(time_str + '\n')
os.system('clear')
print("TITLE = " + title)
print("ARTIST = " + artist)
print("TIME = " + time_str)
device.close()
def toKatakana(str):
kakasi.setMode("J", "K")
# a,H, K, None - roman, Hiragana, Katakana, or non conversion, default: no conversion
kakasi.setMode("H", "K")
# a,H,None - roman, Hiragana or non conversion, default: no conversion
kakasi.setMode("a", "K")
# a,H,None - roman, Hiragana or non conversion, default: no conversion
kakasi.setMode("K", "K")
conv = kakasi.getConverter()
return conv.do(str)
def toFurigana(str):
kakasi = pykakasi.kakasi()
kakasi.setMode("J", "aF")
# a,H, K, aF, None - roman, Hiragana, Katakana, Furigana, or non conversion, default: no conversion
kakasi.setMode("H", "aF")
# a,H, K, aF, None - roman, Hiragana, Katakana, Furigana, or non conversion, default: no conversion
kakasi.setMode("K", "aF")
# a,H, K, aF, None - roman, Hiragana, Katakana, Furigana, or non conversion, default: no conversion
conv = kakasi.getConverter()
return tokenTranslation(conv, str)
def __init__(self, dictionary_type='alphabet', max_len=1000, length=1024):
if dictionary_type == 'alphabet':
self.dictionary = alphabet.alphabet_dict
elif dictionary_type == 'katakana':
self.dictionary = katakana.katakana_dict
elif dictionary_type == 'katakana_small':
self.dictionary = katakana_small.katakana_small_dict
self.dictionary_type = dictionary_type
self.max_len = max_len
self.length = length
kakasi = pykakasi.kakasi()
kakasi.setMode('H', 'a')
kakasi.setMode('K', 'a')
kakasi.setMode('J', 'a')
self.kakasi_conv = kakasi.getConverter()
def get_initials(words):
kakasi.setMode('H', 'a')
kakasi.setMode('K', 'a')
kakasi.setMode('J', 'a')
# kakasi.setMode("C", True)
conv = kakasi.getConverter()
initials = []
for word in words:
initial = conv.do(word)[:1].upper()
initials.append(initial)
# if initials.count == 0:
# print('Error: cannot get initial')
# return
return initials
def VoiceRecodeAndRecongnize():
p = pyaudio.PyAudio()
start = input("録音開始 [Enter]>>")
print("録音中...")
stream = p.open(format=FORMAT,
channels=CHANNELS,
rate=RATE,
input=True,
frames_per_buffer=chunk)
sequence = []
# while True:
# data = stream.read(chunk)
# sequence.append(data)
# if keyboard.is_pressed("esc"):
# break
for i in range(0, int(RATE / chunk * 3)):
data = stream.read(chunk)
sequence.append(data)
print("録音終了")
stream.close()
p.terminate()
wavFile = wave.open(WAVE_OUTPUT_FILENAME, 'wb')
wavFile.setnchannels(CHANNELS)
wavFile.setsampwidth(p.get_sample_size(FORMAT))
wavFile.setframerate(RATE)
wavFile.writeframes(b"".join(sequence))
wavFile.close()
r = sr.Recognizer()
with sr.AudioFile(WAVE_OUTPUT_FILENAME) as source:
audio = r.record(source)
word = r.recognize_google(audio, language='ja')
#kakasi = kakasi()
kakasi.setMode('J', 'H')
kakasi.setMode('K', 'H')
conv = kakasi.getConverter()
word_hiragana = conv.do(word)
print("----------------------------------------")
print("認識結果：" + word)
print("認識結果(ひらがなver)：" + word_hiragana)
print("----------------------------------------")
return word_hiragana
def furiganaLineTrans(text):
kakasi.setMode("J","H")
kakasi.setMode("r","Hepburn")
conv = kakasi.getConverter()
stitchStr = ''
for segWord in segmenter.tokenize(text):
result = ""
if transDict.has_key(segWord):
result = transDict[segWord]
else:
result = conv.do(segWord)
if segWord == result:
stitchStr += segWord
else:
result = result.strip().replace("\n","")
useStr = segWord + ' { ' + result +' } '
stitchStr += useStr
return stitchStr
def change_char(tweet_text, kakasi):
'''change tweet_text, Kanji -> Hiragana'''
seperator = "。"
sentence_list = tweet_text.split(seperator)
sentence_list.pop()
sentence_list = [x+seperator for x in sentence_list]
kakasi = kakasi()
kakasi.setMode("J", "H") # J(漢字) からH(ひらがな)へ
conv = kakasi.getConverter()
for sentence in sentence_list:
print(sentence)
print(conv.do(sentence))
print()
kana_text = conv.do(tweet_text)
with open("prepare_text.txt", mode="w", encoding="utf-8") as f:
f.write(kana_text)
return kana_text
import sys
import os
import tweepy
sys.path.append('/app')
import models # noqa
import jaconv # noqa
from util import morpheme # noqa
import services # noqa
db = firestore.Client()
kakasi = kakasi()
kakasi.setMode("J", "H")
conv = kakasi.getConverter()
system_service = services.system_instance
word_service = services.word_instance
user_service = services.user_instance
tag_service = services.tag_instance
# user_service.get_oauth_url()
# user_data = models.UserUpdate()
# user_data.twitter_id = 'user_id'
# user_data.twitter_name= 'screen_name'
# user_data.twitter_key= 'oauth_token'
# user_data.twitter_secret= 'oauth_token_secret'
# user_data.session_id = "aaaa"
# print(user_data)
incorrect_answers.append(output_string)
student_output_filepath = os.path.join(output_directory, student_name)
with open(student_output_filepath, "w+") as student_corrections_file:
student_corrections_file.write("\n".join(incorrect_answers))
# ------------------------------------------------------------------------------
current_directory = os.path.dirname(os.path.abspath(__file__))
# CHANGE THIS BIT!
master_answer_key = os.path.join(current_directory,
"answer_keys/2017_06_08_lesson_03_part_02.txt")
student_answer_sets = os.path.join(current_directory,
"answer_sets")
# CHANGE THIS BIT!
date_string = "2017_06_08"
current_student_answer_sets = os.path.join(student_answer_sets,
date_string,
"student_answers")
output_directory = os.path.join(student_answer_sets,
date_string,
"graded_answers")
# ---
kakasi = kakasi()
kakasi.setMode("J", "H") # default: Japanese no conversion
japanese_text_normalizer = kakasi.getConverter()
# ---
perform_grading(master_answer_key,
current_student_answer_sets,
output_directory,
japanese_text_normalizer)
def dabiaoqian(path):
from pykakasi import kakasi
import csv, os
name_tezheng = 'mizhichuli_log'
# 装有特征值的那个文件的文件名
xinde = 'xinde_mizhichuli'
# 装入新的特征值的文件名
name1 = 'align1'
name2 = 'symbol.txt'
#标志文件的名字，当align1不好使的时候，换用symbol.txt,注意，下面的代码相应地也要换掉
kakasi = kakasi()
kakasi.setMode("H", "a") # Hiragana to ascii, default: no conversion
kakasi.setMode("K", "a") # Katakana to ascii, default: no conversion
kakasi.setMode("J", "a") # Japanese to ascii, default: no conversion
kakasi.setMode("r", "Hepburn") # default: use Hepburn Roman table
kakasi.setMode("s", True) # add space, default: no separator
conv = kakasi.getConverter()
for i in os.listdir(path):
path_1 = os.path.join(path, i)
path_out = os.path.join(path_1, 'keka')
path_tezheng = os.path.join(path_1, name_tezheng)
#biaozhiwenjian = csv.reader(open(os.path.join(path_1, name1), 'r', encoding='EUC-JP')) # 把标志文件读进来
biaozhiwenjian = csv.reader(
open(os.path.join(path_1, name2), 'r',
encoding='utf-8')) #如果标志文件是.txt文件
biaozhiwenjian_1 = [i for i in biaozhiwenjian
] # 转化为list,但是内容是list里面套list
#[['id: l_8840_9810_T1_F_01'],['REF: そう です か 、 はい 。 '],['HYP: そう です か はい 。 '],['EVAL: C C C D C C '],[],['id: l_10800_13190_T1_F_01']]
# print(biaozhiwenjian_1)
# os.system('pause')
path_xinde = os.path.join(path_1, xinde)
mulu.mkdir(path_xinde)
for i in range(0, len(biaozhiwenjian_1)): # 这里的每一轮可以为一个语音文件打标签
try:
biaozhi = biaozhiwenjian_1[i][0]
except:
continue
if 'id:' in biaozhi:
ID = ''
l_biaozhi = []
l_zhengjie = []
l_zhengjie_1 = []
l_jieguo = []
l_jieguo_1 = []
ID = biaozhiwenjian_1[i][0].replace('id: ', '')
l_zhengjie = biaozhiwenjian_1[i + 1][0].split()
l_zhengjie.pop(0)
l_jieguo = biaozhiwenjian_1[i + 2][0].split()
l_jieguo.pop(0)
l_biaozhi = biaozhiwenjian_1[i + 3][0].split()
l_biaozhi.pop(0)
#建立严格对应的正解，识别结果，标记，如果标记是d的话，结果就是空
jishuqi_jieguo = 0
jishuqi_zhengjie = 0
jishuqi_biaozhi = 0
for i in l_biaozhi:
if i == "D":
l_zhengjie_1.append(l_zhengjie[jishuqi_zhengjie])
l_jieguo_1.append('')
jishuqi_zhengjie += 1
jishuqi_biaozhi += 1
if i == "C":
l_zhengjie_1.append(l_zhengjie[jishuqi_zhengjie])
l_jieguo_1.append(l_jieguo[jishuqi_jieguo])
jishuqi_zhengjie += 1
jishuqi_jieguo += 1
jishuqi_biaozhi += 1
if i == "I":
l_jieguo_1.append(l_jieguo[jishuqi_jieguo])
l_zhengjie_1.append('')
jishuqi_jieguo += 1
jishuqi_biaozhi += 1
if i == "S": #如果是S的话特殊处理一下，转化为字母再比较，如果转化之后相等的话，把标志改为C
l_zhengjie_1.append(l_zhengjie[jishuqi_zhengjie])
l_jieguo_1.append(l_jieguo[jishuqi_jieguo])
zhengjie_hanzi = l_zhengjie[jishuqi_zhengjie]
jieguo_hanzi = l_jieguo[jishuqi_jieguo]
#先处理识别结果
if conv.do(
jieguo_hanzi
) == jieguo_hanzi and jieguo_hanzi != '、': #判断是不是字母
try:
zhuanhuan_jieguo = conv.do(
make_kana_convertor._make_kana_convertor(
strQ2B.strQ2B(jieguo_hanzi)))
except:
zhuanhuan_jieguo = conv.do(
make_kana_convertor._make_kana_convertor(
jieguo_hanzi))
else:
zhuanhuan_jieguo = conv.do(jieguo_hanzi)
#再处理正解文
if conv.do(
zhengjie_hanzi
) == zhengjie_hanzi and zhengjie_hanzi != '、': # 判断是不是字母
try:
zhuanhuan_zhengjie = conv.do(
make_kana_convertor._make_kana_convertor(
strQ2B.strQ2B(zhengjie_hanzi)))
except:
zhuanhuan_zhengjie = conv.do(
make_kana_convertor._make_kana_convertor(
zhengjie_hanzi))
else:
zhuanhuan_zhengjie = conv.do(zhengjie_hanzi)
if zhuanhuan_jieguo == zhuanhuan_zhengjie:
# print("正解list")
# print(l_zhengjie_1)
#
# print("识别结果list")
# print(l_jieguo_1)
#
# print("zhuanhuan_jieguo")
# print(zhuanhuan_jieguo)
# print("zhuanhuan_zhengjie")
# print(zhuanhuan_zhengjie)
# print("有标志被改了")
# print(ID)
# os.system("pause")
l_biaozhi[jishuqi_biaozhi] = 'C'
jishuqi_biaozhi += 1
jishuqi_zhengjie += 1
jishuqi_jieguo += 1
# print(l_jieguo_1)
# print(l_zhengjie_1)
# print(l_biaozhi)
# os.system('pause')
path_out_1 = os.path.join(path_out, ID + '.out') #读出.out文件
dianout = pi.read_out(path_out_1)
start = dianout.pop(0)[1][1] # 给开始的无音区间打标签9，pop掉第一个元素
start_1 = dianout[-1][1][0] #给末尾句号打标签9
# end_1 = dianout.pop(-1)[1][1]
# print(dianout)
# os.system('pause')
# 最后的效果:[['', [0, 18]], ['お', [19, 24]], ['願い', [25, 49]], ['三', [50, 82]], ['。', [83, 86]]]
path_tezheng_1 = os.path.join(path_tezheng, ID + '.wav.csv')
tezhengzhi = csv.reader(
open(path_tezheng_1, 'r', encoding='utf-8'))
t_file_list = [i for i in tezhengzhi]
end_1 = len(t_file_list) - 1
for i in range(start + 1):
t_file_list[i].insert(0,
'9') # 最前面的无音区间全部都打标签9,把它们当做正确认识来处理
for i in range(start_1, end_1 + 1):
t_file_list[i].insert(0, '9')
l_jieguo_1.pop(-1) #最后句号的部分已经打过标签了，需要把它pop掉
print("ID")
print(ID)
print("l_biaozhi")
print(l_biaozhi)
print("l_jieguo_1")
print(l_jieguo_1)
print("dianout")
print(dianout)
dianout_chongzao = cz.chongzao(l_biaozhi, l_jieguo_1, dianout,
ID) # 生成新的dianoutlist,以后就靠它了
print('dianout_chongzao')
print(dianout_chongzao)
#通过得到的新的list,开始打标签
# [['災害', [3, 40], 'C'], ['で', [41, 48], 'C'], ['ござい', [49, 77], 'C'], ['ます', [78, 98], 'C'],
# ['から', [99, 130], 'C'], ['、', [131, 152], 'C'], ['その', [153, 177], 'C'], ['場', [178, 190], 'C'],
# ['で', [191, 209], 'C']]
for i in dianout_chongzao:
start, end = i[1]
if i[2] == 'C':
for i in range(start, end + 1):
t_file_list[i].insert(0, '0')
else:
for i in range(start, end + 1):
t_file_list[i].insert(0, '1')
path_xinde_tezhengzhi = os.path.join(path_xinde, ID + '.csv')
with open(path_xinde_tezhengzhi, 'w+',
encoding='utf-8') as mergen_file:
for i in t_file_list:
mergen_file.write('%s\n' % ','.join(i))
shanchu.shanchuhang(path_xinde) # 把有标记9的特征值全部都删除掉
from pykakasi import kakasi
kakasi = kakasi()
kakasi.setMode('H', 'a')
kakasi.setMode('K', 'a')
kakasi.setMode('J', 'a')
conv = kakasi.getConverter()
print(conv.do('本日は晴天なり'))
def convert(self, inputText):
input = inputText
input = input.replace(" ", "**SPACE**")
lines = input.splitlines()
## Prepare response with dict
romanized = []
for line in lines:
text = line
chunklines = mecab_tagger.parse(text).splitlines()[:-1]
parsed = [[chunk.split('\t')[0], tuple(chunk.split('\t')[1].split(',')) ] for chunk in chunklines]
## Parse
romanizedLine = []
for i in parsed:
#now for each i[0] do romaji
conv = kakasi.getConverter()
finalResult = None
# ignore calculation if initial string is numeric
if is_number(i[0]):
finalResult = ""+i[0]
# ignore calculation if string has non JP chars
if finalResult == None and is_japanese(i[0]) == False:
finalResult = i[0]
if finalResult == None:
result1 = None
if len(i) == 2 and len(i[1]) > 8:
result1 = conv.do(i[1][7])
result2 = conv.do(i[0])
if result1 == None:
finalResult = result2+" "
elif result1 != None and result2 != result1:
finalResult = result2+" "
else:
finalResult = result2+" "
# print("r1 "+result1)
# print("r2 "+result2)
romanizedLine.append(finalResult)
pair = {}
romanizedLine = "".join(romanizedLine)
romanizedLine = romanizedLine.replace(" ha ", " wa ")
## Collapse っ
#k
romanizedLine = romanizedLine.replace("tsu ka ", "tsuka")
romanizedLine = romanizedLine.replace("tsu ke ", "kke")
romanizedLine = romanizedLine.replace("tsu ki ", "kki")
romanizedLine = romanizedLine.replace("tsu ko ", "kko")
romanizedLine = romanizedLine.replace("tsu ku ", "kku")
## Collapse っ
#s
romanizedLine = romanizedLine.replace("tsu sa ", "ssa")
romanizedLine = romanizedLine.replace("tsu se ", "sse")
romanizedLine = romanizedLine.replace("tsu si ", "ssi")
romanizedLine = romanizedLine.replace("tsu so ", "sso")
romanizedLine = romanizedLine.replace("tsu su ", "ssu")
## Collapse っ
#t
romanizedLine = romanizedLine.replace("tsu ta ", "tta")
romanizedLine = romanizedLine.replace("tsu te ", "tte")
romanizedLine = romanizedLine.replace("tsu ti ", "tti")
romanizedLine = romanizedLine.replace("tsu to ", "tto")
romanizedLine = romanizedLine.replace("tsu tu ", "ttu")
## Collapse っ
#p
romanizedLine = romanizedLine.replace("tsu pa ", "ppa")
romanizedLine = romanizedLine.replace("tsu pe ", "ppe")
romanizedLine = romanizedLine.replace("tsu pi ", "ppi")
romanizedLine = romanizedLine.replace("tsu po ", "ppo")
## Dangling letters
romanizedLine = romanizedLine.replace(" u ", "u ")
romanizedLine = romanizedLine.replace(" i ", "i ")
## Other fixes, after tsu particle
romanizedLine = romanizedLine.replace(" nai ", "nai ")
romanizedLine = romanizedLine.replace(" ta ", "ta ")
romanizedLine = romanizedLine.replace(" te ", "te ")
romanizedLine = romanizedLine.replace(" ten ", "ten ")
romanizedLine = romanizedLine.replace(" ku ", "ku ")
romanizedLine = romanizedLine.replace(" ba ", "ba ")
romanizedLine = romanizedLine.replace(" ka ", "ka ")
romanizedLine = romanizedLine.replace(" ze ", "ze ")
romanizedLine = romanizedLine.replace(" ga ", "ga ")
romanizedLine = romanizedLine.replace(" re ", "re ")
## Extended letters
romanizedLine = romanizedLine.replace("a-", "ā")
romanizedLine = romanizedLine.replace("e-", "ē")
romanizedLine = romanizedLine.replace("i-", "ī")
romanizedLine = romanizedLine.replace("o-", "ō")
romanizedLine = romanizedLine.replace("u-", "ū")
## Special characters / Punctuation
## https://en.wikipedia.org/wiki/List_of_Japanese_typographic_symbols
romanizedLine = romanizedLine.replace("「", "'")
romanizedLine = romanizedLine.replace("」", "'")
romanizedLine = romanizedLine.replace("『", "\"")
romanizedLine = romanizedLine.replace("』", "\"")
romanizedLine = romanizedLine.replace("（", "(")
romanizedLine = romanizedLine.replace("）", ")")
romanizedLine = romanizedLine.replace("〔", "[")
romanizedLine = romanizedLine.replace("〕", "]")
romanizedLine = romanizedLine.replace("［", "[")
romanizedLine = romanizedLine.replace("］", "]")
romanizedLine = romanizedLine.replace("｛", "{")
romanizedLine = romanizedLine.replace("｝", "}")
romanizedLine = romanizedLine.replace("｟", "((")
romanizedLine = romanizedLine.replace("｠", "))")
romanizedLine = romanizedLine.replace("〈", "‹")
romanizedLine = romanizedLine.replace("〉", "›")
romanizedLine = romanizedLine.replace("《", "«")
romanizedLine = romanizedLine.replace("》", "»")
romanizedLine = romanizedLine.replace("【", "[")
romanizedLine = romanizedLine.replace("】", "]")
romanizedLine = romanizedLine.replace("〖", "[")
romanizedLine = romanizedLine.replace("〗", "]")
romanizedLine = romanizedLine.replace("〘", "[")
romanizedLine = romanizedLine.replace("〙", "]")
romanizedLine = romanizedLine.replace("〚", "[")
romanizedLine = romanizedLine.replace("〛", "]")
romanizedLine = romanizedLine.replace("。", ".")
romanizedLine = romanizedLine.replace("、", ",")
romanizedLine = romanizedLine.replace("・", "·")
romanizedLine = romanizedLine.replace("゠", "–")
romanizedLine = romanizedLine.replace("＝", "—")
romanizedLine = romanizedLine.replace("…", "...")
romanizedLine = romanizedLine.replace("‥", "..")
## Custom tokens and fixes
romanizedLine = romanizedLine.replace("**SPACE**", " ")
text = text.replace("**SPACE**", " ")
## Remove multiple spaces
romanizedLine = romanizedLine.strip()
romanizedLine = " ".join(romanizedLine.split())
pair[text] = romanizedLine.strip()
romanized.append(pair)
return romanized
def dabiaoqian(path):
from pykakasi import kakasi
BASE_DIRS = path
# 批次
name_tezheng = 'log'
# 装有特征值的那个文件的文件名
xinde = 'xinde_log'
# 装入新的特征值的文件名
houzhui = '.wav.csv'
# 特征值文件中除去id号之后的后缀部分
name = 'align1'
# 表记着CCCCSSSS标志的文件
shibiejieguo = {}
# 安放识别结果的字典
symbolcidian = {}
# 这样的词典,标志词典
# id: C001L_086
# ['S', 'S', 'S', 'C', 'S', 'D', 'D', 'D', 'C']
# id: C001L_087
# ['S', 'D', 'D', 'C']
# id: C001L_088
# ['S', 'S', 'S', 'S', 'D', 'D', 'D', 'D', 'C', 'C']
zhengjie = {}
# 正解文词典
kakasi = kakasi()
kakasi.setMode("H", "a") # Hiragana to ascii, default: no conversion
kakasi.setMode("K", "a") # Katakana to ascii, default: no conversion
kakasi.setMode("J", "a") # Japanese to ascii, default: no conversion
kakasi.setMode("r", "Hepburn") # default: use Hepburn Roman table
kakasi.setMode("s", True) # add space, default: no separator
conv = kakasi.getConverter()
for per_dirs in os.listdir(BASE_DIRS): # per_dirs = C001L,C001R...
d_9 = os.path.join(BASE_DIRS,per_dirs,xinde)
d = os.path.join(BASE_DIRS,per_dirs,xinde)
mulu.mkdir(d)
zhengjie,symbolcidian = zidian.zidian(per_dirs,BASE_DIRS)
#从标志文件中把标志塞进symbolcidian字典里
for id in os.listdir(os.path.join(BASE_DIRS,per_dirs,name_tezheng)):#id = C001L,C001R下面的文件的名字
banyun_1 = []#存储C的索引
banyun_2 = []#存储正确的单词
banyun_3 = []#存储非C的索引
banyun_4 = []#存储暂时不正确的单词的拼音
dianout = []
id = id.replace(houzhui, '')#把文件名中的.wav.csv去掉只剩id
# print(id)
# print(symbolcidian[id])
enumerate(symbolcidian[id])
banyun_1 = [i for i,x in enumerate(symbolcidian[id]) if x == 'C']#返回标志C的索引
banyun_3 = [i for i,x in enumerate(symbolcidian[id]) if x == 'S']#返回替换错误的单词的索引
t_file = os.path.join(BASE_DIRS, per_dirs, name_tezheng, id + houzhui)
a = csv.reader(open(t_file, 'r', encoding='utf-8'))
t_file_list = [i for i in a]
# if len(banyun_1) == 0:#如果没有一个是正确的，全错，所有的数据都打标签1
# for i in range(len(t_file_list)):
# t_file_list[i].insert(0, '1')
# print(banyun_1)
# print(banyun_3)
# os.system("pause")
for u in banyun_1:#banyun_1里面装的全是标志C的索引
if u+1 <= len(zhengjie[id]):#正解文单词的个数可能没有标志的个数多
# print(banyun_1)
# print(zhengjie[id][u])
# print(zhengjie[id])
# print("已经把正确单词 %s 加入数组"%str(zhengjie[id][u]))
banyun_2.append(zhengjie[id][u])#banyun_2是存储正确单词的索引的数组
# print("此时的banyun_2是")
# print(banyun_2)
# os.system('pause')
else:#如果C标志的索引号大于正解文单词的索引号，那就只能手动去调整了
print("手动调一下这个文件吧%s"%id)
print("它的正确单词是")
print(banyun_2)
os.system("pause")
# print(banyun_2)
# os.system('pause')
for w in banyun_3:#存储非C的索引
if w + 1 <= len(zhengjie[id]): # 正解文单词的个数可能没有标志的个数多
result = conv.do(zhengjie[id][w])
banyun_4.append(result)
# if result == zhengjie[id][w] and zhengjie[id][w] != '、':#如果是逗号，也按正常的单词处理
#
# banyun_4.append(conv.do(_make_kana_convertor(strQ2B(zhengjie[id][w]))))#如果转化之后的值不变，就说明遇到了字母，把字母转化为半角，再再转化为片假名,之后再转化为罗马字加入列表中
# else:
# # banyun_4.append(result)#存储暂时不正确的单词
# print("此时的banyun_4是")
# print(banyun_4)
# os.system('pause')
else: # 如果C标志的索引号大于正解文单词的索引号，那就只能手动去调整了
print("手动调一下这个文件吧%s" % id)
print("它的认识出现错误的单词是")
print(banyun_4)
os.system("pause")
# print(banyun_2)
# os.system("pause")
# for p in symbolcidian[id]:
# os.system("pause")
# # while p == 'C':
# print(p.index('C'))
dir_out = os.path.join(BASE_DIRS, per_dirs, 'keka',id + '.out')
dianout = pi.read_out(dir_out)#提取出来的帧号跟julius识别结果一样
# print(dianout)
# os.system('pause')
# 最后的效果:[['', [0, 18]], ['お', [19, 24]], ['願い', [25, 49]], ['三', [50, 82]], ['。', [83, 86]]]
# [ 37 58] 0.562999 で+接続詞 [で]
start = dianout.pop(0)[1][1]
# print(start)
for i in range(start+1):
t_file_list[i].insert(0, '9')#最前面的无音区间全部都打标签9,把它们当做正确认识来处理
for y in dianout:#dianout是识别结果跟对应的帧数表
# print("此时的单词是%s"%y)
# print("此时的匹配结果是")
# print(dianout)
# os.system("pause")
if y[1][1]+1 <= len(t_file_list):#判断这个单词的范围是否超出了特征值得总行数
if y[0] == '':#跳过前面的无音区
continue
if y[0] == dianout[-1][0]:#这段代码是为了把最后句号的部分全部打上标签9而设置的注意一下，下面也有一段代码
start, end = y[1]
for i in range(start, end + 1):
t_file_list[i].insert(0, '9')
continue
if y[0] in banyun_2:#如果这个单词存在列表banyun_2中，就给这个单词对应的帧数范围打标签0
start, end = y[1]
print("正在为文件 %s 的单词 %s 打标签"%(os.path.split(dir_out)[1],y[0]))
for i in range(start, end+1):
t_file_list[i].insert(0, '0')
banyun_2.remove(y[0])#打完标签0之后再从列表中把这个单词删掉
elif conv.do(y[0]) == y[0] and y[0] != '、':#如果是字母的话，转化之后还是字母
print("发现识别结果中的字母%s"%y[0])
print("它在文件%s"%dir_out)
try:
zhuanhuazhi = conv.do(make_kana_convertor._make_kana_convertor(strQ2B.strQ2B(y[0])))
except:
zhuanhuazhi =conv.do(make_kana_convertor._make_kana_convertor(y[0]))
if zhuanhuazhi in banyun_4:#需要先把字母转化为片假名然后再转化为读音
print("转化之后的字母为%s"%zhuanhuazhi)
# os.system('pause')
start, end = y[1]
print("正在为文件 %s 的单词 %s 打标签" % (os.path.split(dir_out)[1], y[0]))
for i in range(start, end + 1):
t_file_list[i].insert(0, '0')
banyun_4.remove(zhuanhuazhi) # 打完标签0之后再从列表中把这个单词删掉
else:
start, end = y[1]
print("正在为文件 %s 的单词 %s 打标签" % (os.path.split(dir_out)[1], y[0]))
for i in range(start, end + 1):
t_file_list[i].insert(0, '1')
elif conv.do(y[0]) in banyun_4:
start, end = y[1]
print("正在为文件 %s 的单词 %s 打标签" % (os.path.split(dir_out)[1], y[0]))
for i in range(start, end + 1):
t_file_list[i].insert(0, '0')
banyun_4.remove(conv.do(y[0])) # 打完标签0之后再从列表中把这个单词删掉
else:
start, end = y[1]#如果这个单词不在列表banyun_2中，就给这个单词对应的帧数范围打标签1
print("正在为文件 %s 的单词 %s 打标签" % (os.path.split(dir_out)[1], y[0]))
for i in range(start , end+1):
t_file_list[i].insert(0, '1')
elif y[1][1]+1 > len(t_file_list):
if y[0] == '':
continue
if y[0] == dianout[-1][0]:
start = y[1][0]
end = len(t_file_list)
for i in range(start, end):#如果是y[1][1]+1 > len(t_file_list)的情况这里end就不能加一了
t_file_list[i].insert(0, '9')
continue
# 这段代码是为了把最后句号的部分全部打上标签9而设置的注意一下，上面也有一段代码
if y[0] in banyun_2:
start = y[1][0]
end = len(t_file_list)#如果这个单词的帧数表的范围超出了特征值得行数，就以特征值行数作为end
print("正在为文件 %s 的单词 %s 打标签" % (os.path.split(dir_out)[1], y[0]))
for i in range(start, end):
t_file_list[i].insert(0, '0')
banyun_2.remove(y[0])
elif conv.do(y[0]) == y[0] and y[0] != '、': # 如果是字母的话，转化之后还是字母
if conv.do(make_kana_convertor._make_kana_convertor(y[0])) in banyun_4: # 需要先把字母转化为片假名然后再转化为读音
start = y[1][0]
end = len(t_file_list)
print("正在为文件 %s 的单词 %s 打标签" % (os.path.split(dir_out)[1], y[0]))
for i in range(start, end + 1):
t_file_list[i].insert(0, '0')
banyun_4.remove(conv.do(make_kana_convertor._make_kana_convertor(y[0]))) # 打完标签0之后再从列表中把这个单词删掉
else:
start = y[1][0]
end = len(t_file_list)
print("正在为文件 %s 的单词 %s 打标签" % (os.path.split(dir_out)[1], y[0]))
for i in range(start, end + 1):
t_file_list[i].insert(0, '1')
else:
start = y[1][0]
end = len(t_file_list)
print("正在为文件 %s 的单词 %s 打标签" % (os.path.split(dir_out)[1], y[0]))
for i in range(start, end):
t_file_list[i].insert(0, '1')
with open(os.path.join(BASE_DIRS, per_dirs,xinde,id+'.csv') , 'w+',encoding='utf-8') as mergen_file:
for i in t_file_list:
mergen_file.write('%s\n' % ','.join(i))
shanchu.shanchuhang(d_9)#把有标记9的特征值全部都删除掉
def dabiaoqian(path):
from pykakasi import kakasi
import csv, os
name_tezheng = 'log'
# 装有特征值的那个文件的文件名
xinde = 'xinde_log'
# 装入新的特征值的文件名
houzhui = '.wav.csv'
# 特征值文件中除去id号之后的后缀部分
name = 'align1'
# 表记着CCCCSSSS标志的文件
name1 = 'align1'
name2 = 'align1.txt'
shibiejieguo = {}
# 安放识别结果的字典
symbolcidian = {}
# 这样的词典,标志词典
# id: C001L_086
# ['S', 'S', 'S', 'C', 'S', 'D', 'D', 'D', 'C']
# id: C001L_087
# ['S', 'D', 'D', 'C']
# id: C001L_088
# ['S', 'S', 'S', 'S', 'D', 'D', 'D', 'D', 'C', 'C']
zhengjie = {}
# 正解文词典
kakasi = kakasi()
kakasi.setMode("H", "a") # Hiragana to ascii, default: no conversion
kakasi.setMode("K", "a") # Katakana to ascii, default: no conversion
kakasi.setMode("J", "a") # Japanese to ascii, default: no conversion
kakasi.setMode("r", "Hepburn") # default: use Hepburn Roman table
kakasi.setMode("s", True) # add space, default: no separator
conv = kakasi.getConverter()
for i in os.listdir(path):
path_1 = os.path.join(path, i)
path_out = os.path.join(path_1, 'keka')
path_tezheng = os.path.join(path_1, name_tezheng)
biaozhiwenjian = csv.reader(
open(os.path.join(path_1, name1), 'r',
encoding='EUC-JP')) # 把标志文件读进来
# biaozhiwenjian = csv.reader(open(os.path.join(path_1, name2), 'r', encoding='utf-8')) #如果标志文件是.txt文件
biaozhiwenjian_1 = [i for i in biaozhiwenjian
] # 转化为list,但是内容是list里面套list
#[['id: l_8840_9810_T1_F_01'],['REF: そう です か 、 はい 。 '],['HYP: そう です か はい 。 '],['EVAL: C C C D C C '],[],['id: l_10800_13190_T1_F_01']]
# print(biaozhiwenjian_1)
# os.system('pause')
path_xinde = os.path.join(path_1, xinde)
mulu.mkdir(path_xinde)
for i in range(0, len(biaozhiwenjian_1), 5): #这里的每一轮可以为一个语音文件打标签
ID = ''
l_biaozhi = []
l_zhengjie = []
l_zhengjie_1 = []
l_jieguo = []
l_jieguo_1 = []
ID = biaozhiwenjian_1[i][0].replace('id: ', '')
l_zhengjie = biaozhiwenjian_1[i + 1][0].split()
l_zhengjie.pop(0)
l_jieguo = biaozhiwenjian_1[i + 2][0].split()
l_jieguo.pop(0)
l_biaozhi = biaozhiwenjian_1[i + 3][0].split()
l_biaozhi.pop(0)
# try:
# ID = biaozhiwenjian_1[i].replace('id: ', '')
#
# l_zhengjie = biaozhiwenjian_1[i+1].split()
# l_zhengjie.pop(0)
#
# l_jieguo = biaozhiwenjian_1[i+2].split()
# l_jieguo.pop(0)
#
# l_biaozhi = biaozhiwenjian_1[i+3].split()
# l_biaozhi.pop(0)
#
# except:
# print(biaozhiwenjian_1[i])
# os.system("pause")
#建立严格对应的正解，识别结果，标记，如果标记是d的话，结果就是空
jishuqi_jieguo = 0
jishuqi_zhengjie = 0
for i in l_biaozhi:
if i == "D":
l_zhengjie_1.append(l_zhengjie[jishuqi_zhengjie])
l_jieguo_1.append('')
jishuqi_zhengjie += 1
if i == "C":
l_zhengjie_1.append(l_zhengjie[jishuqi_zhengjie])
l_jieguo_1.append(l_jieguo[jishuqi_jieguo])
jishuqi_zhengjie += 1
jishuqi_jieguo += 1
if i == "I":
l_jieguo_1.append(l_jieguo[jishuqi_jieguo])
l_zhengjie_1.append('')
jishuqi_jieguo += 1
if i == "S":
l_zhengjie_1.append(l_zhengjie[jishuqi_zhengjie])
l_jieguo_1.append(l_jieguo[jishuqi_jieguo])
jishuqi_zhengjie += 1
jishuqi_jieguo += 1
# print(l_jieguo_1)
# print(l_zhengjie_1)
# print(l_biaozhi)
# os.system('pause')
path_out_1 = os.path.join(path_out, ID + '.out')
dianout = pi.read_out(path_out_1)
# print(dianout)
# os.system('pause')
path_tezheng_1 = os.path.join(path_tezheng, ID + '.wav.csv')
tezhengzhi = csv.reader(open(path_tezheng_1, 'r',
encoding='utf-8'))
t_file_list = [i for i in tezhengzhi]
dimension = len(t_file_list[0])
start = dianout.pop(0)[1][1] #给开始的无音区间打标签9
for i in range(start + 1):
t_file_list[i].insert(0, '9') # 最前面的无音区间全部都打标签9,把它们当做正确认识来处理
zhenshubiao = {} #给每个单词都建立一个词典
for i in dianout:
zhenshubiao[i[0]] = i[1] #一个.out文件中的每个单词都建立一个对应的字典
start, end = zhenshubiao['。'] #给最后面的句号的部分打上标签9
for i in range(start, end + 1):
t_file_list[i].insert(0, '9')
# print(dianout)
# os.system('pause')
# 最后的效果:[['', [0, 18]], ['お', [19, 24]], ['願い', [25, 49]], ['三', [50, 82]], ['。', [83, 86]]]
# while 'D' in l_biaozhi:
# l_biaozhi.remove('D') # 一次性只会删除一个D,所以要用while
l_biaozhi_1 = [i for i, x in enumerate(l_biaozhi)
if x == 'S'] # 返回标志S的索引
# print(len(l_biaozhi_1))
# os.system('pause')
if len(l_biaozhi_1) != 0: #如果l_biaozhi_1里面没有单词，说明全部都被正确认识了
# print('l_jieguo_1')
# print(l_jieguo_1)
#
# print('l_biaozhi_1')
# print(l_biaozhi_1)
#
# print('l_biaozhi')
# print(l_biaozhi)
#
# print('l_zhengjie_1')
# print(l_zhengjie_1)
# print(l_jieguo_1)
# print(l_zhengjie_1)
# print(l_biaozhi)
for y in l_biaozhi_1: #处理标志s对应的单词,把正解文和识别结果都转化为字母再比较一次
# print("现在输出y的值")
# print(y)
#
# print('现在输出l_jieguo_1[y]')
# print(l_jieguo_1[y])
# print(ID)
# os.system('pause')
#先处理识别结果
if conv.do(
l_jieguo_1[y]
) == l_jieguo_1[y] and l_jieguo_1[y] != '、': #判断是不是字母
try:
zhuanhuan_jieguo = conv.do(
make_kana_convertor._make_kana_convertor(
strQ2B.strQ2B(l_jieguo_1[y])))
except:
zhuanhuan_jieguo = conv.do(
make_kana_convertor._make_kana_convertor(
l_jieguo_1[y]))
else:
zhuanhuan_jieguo = conv.do(l_jieguo_1[y])
#再处理正解文
if conv.do(
l_zhengjie_1[y]
) == l_zhengjie_1[y] and l_zhengjie_1[y] != '、': # 判断是不是字母
try:
zhuanhuan_zhengjie = conv.do(
make_kana_convertor._make_kana_convertor(
strQ2B.strQ2B(l_zhengjie_1[y])))
except:
zhuanhuan_zhengjie = conv.do(
make_kana_convertor._make_kana_convertor(
l_zhengjie_1[y]))
else:
zhuanhuan_zhengjie = conv.do(l_zhengjie_1[y])
# print('l_jieguo_1[y]')
# print(l_jieguo_1[y])
# os.system('pause')
guanjianzi = l_jieguo_1[y] #把S对应的单词取出来
# print('guanjianzi')
# print(guanjianzi)
# os.system('pause')
#
# print('zhenshubiao')
# print(zhenshubiao[guanjianzi])
# os.system('pause')
try:
start, end = zhenshubiao[guanjianzi] #把这个单词对应的帧数范围取出来
except:
print('ID')
print(ID)
print('zhenshubiao')
print(zhenshubiao)
print('guanjianzi')
print(guanjianzi)
os.system('pause')
for i in range(start, end + 1):
if zhuanhuan_jieguo == zhuanhuan_zhengjie:
t_file_list[i].insert(0, '0')
else:
t_file_list[i].insert(0, '1')
jishuqi_tezhengzhi = 0
for i in t_file_list: #给被正确识别的单词打标签0
# if i[0] != '0' and i[0] != '1' and i[0] != '9':
if len(i[0]) == dimension:
t_file_list[jishuqi_tezhengzhi].insert(0, '0')
jishuqi_tezhengzhi += 1
path_xinde_tezhengzhi = os.path.join(path_xinde, ID + '.csv')
with open(path_xinde_tezhengzhi, 'w+',
encoding='utf-8') as mergen_file:
for i in t_file_list:
mergen_file.write('%s\n' % ','.join(i))
shanchu.shanchuhang(path_xinde) # 把有标记9的特征值全部都删除掉
import urllib.request
import json
from pykakasi import kakasi, wakati
EMOJI_JSON_URL = 'https://raw.githubusercontent.com/yagays/emoji-ja/20190726/data/emoji_ja.json'
EMOJI_DICT_PATH = 'tsv/emoji.tsv'
kakasi = kakasi()
kakasi.setMode("J","H")
conv_j2h = kakasi.getConverter()
kakasi.setMode("K","H")
conv_k2h = kakasi.getConverter()
def hiraganafy(keyword):
k = keyword.upper()
k = conv_j2h.do(k)
k = conv_k2h.do(k)
return k
def add_word_to_dict(emoji, keyword, emoji_dict):
valid_keyword = keyword.replace('ゔ', 'う゛')
word = f':{valid_keyword}\t{emoji}\t記号\t'
emoji_dict.append(word)
class EmojiDict():
emoji_json = None
emoji_dict = []
