# Importing Natural Language Toolkit python library import nltk # Storing all the Tamil stop words in the variable retrieved from the file ‘tamil’ stopwords = nltk.corpus.stopwords.words('tamil') # Function for removing stop words def stopwords_remove(text_data): # Appending words which are ...
('LANGUAGE_ENGLISH_TRINIDAD', 72, u'en_TT') ('LANGUAGE_ENGLISH_UK', 59, u'en_GB') ('LANGUAGE_ENGLISH_US', 60, u'en_US') ('LANGUAGE_ENGLISH_ZIMBABWE', 73, u'en_ZW') ('LANGUAGE_ESPERANTO', 74, u'eo') ('LANGUAGE_ESTONIAN', 75, u'et_EE') ('LANGUAGE_FAEROESE', 76, u'...
'tamil', 'te': 'telugu', 'th': 'thai', 'tr': 'turkish', 'tk': 'turkmen', 'uk': 'ukrainian', 'ur': 'urdu', 'ug': 'uyghur', 'uz': 'uzbek', 'vi': 'vietnamese', 'cy': 'welsh', 'xh': 'xhosa', 'yi': 'yiddish', 'yo': 'yoruba', 'zu': 'zulu', } DEFAULT_...
None,0],[None,None,"Kon'nichiwa.",'annyeonghaseyo.']],'all-translations':None,'original-language':'ko','possible-translations':[['안녕하세요',None,[['こんにちは',1000,False,False],['ちょっと',0,False,False],['ハロー',0,False,False],['ねえ',0,False,False]],[[0,5...
text = "Python is a great programming language" engine.say(text) # play the speech engine.runAndWait() say()方法向事件队列添加一个话语,而runAndWait()方法运行实际的事件循环,直到所有命令排队。所以你可以多次调用say()方法,最后只运行一个runAndWait()方法,为了听综合,试试吧!
recognize_google(audio, language='en-in') print(f"user said {query}\n") except Exception as e: print("say that again please...") return "None" return query 复制 Python3 # Taking voice input from the user query = takecommand() while (query == "None"): query = takecommand() 复制...
Using escape sequences for code points greater than 127 is fine in small doses, but becomes an annoyance if you're using many accented characters, as you would in a program with messages in French or some other accent-using language. You can also assemble strings using the chr() built-in...
# Using Google-Text-to-Speech ie, gTTS() method # to speak the translated text into the # destination language which is stored in to_lang. # Also, we have given 3rd argument as False because # by default it speaks very slowly speak = gTTS(text=text, lang=to_lang, slow=False) # ...
saved in the same directory and name as the source path) -F FORMAT, --format FORMAT Destination subtitle format -S SRC_LANGUAGE, --src-language SRC_LANGUAGE Language spoken in source file -D DST_LANGUAGE, --dst-language DST_LANGUAGE ...
a.修改__builtin__.__dict__,引入_()函数到系统内建模块中,使_()等同于wx.GetTranslation()。 b.调用wx.locale(wx.LANGUAGE_ENGLISH),声明使用英语界面,若是要改成简体中文,则是wx.LANGUAGE_CHINESE_SIMPLIFIED c.调用wx.locale().AddCatalogLookupPathPrefix('local'),声明语言包放在程序目录下local子目录...