translate(text) return result chinese_text = '你好,世界!' english_text = translate(chinese_text) print(english_text) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 以上代码中,我们通过 translate 函数将中文文本转换成英文。to_lang='en' 表示将文本翻译成英文。执行以上代码,输出结果为: AI检测代码...
# 将中文翻译成英文result=translator.translate('你好',dest='en')print(result.text) 1. 2. 3. 步骤5:完整示例代码 fromgoogletransimportTranslatordeftranslate_to_english(chinese_text):translator=Translator(service_urls=['translate.google.com'])result=translator.translate(chinese_text,dest='en')returnre...
translator = Translator(from_lang="zh", to_lang="en") text = "这是一段中文,将其翻译为英文" translation = translator.translate(text) print(translation) 将英文翻译为中文 from translate import Translator translator = Translator(from_lang="en", to_lang="zh") text = "This is an English text...
"""just translate input from English into Chinese""" # Get thie inupt_area input_css = 'div.lmt__inner_textarea_container textarea' input_area = self.driver.find_element(By.CSS_SELECTOR,input_css) # Send the text input_area.clear() clipboard.copy(input) # Set the sentence into the...
# This code shows an example of text translation from English to Simplified-Chinese. # This code runs on Python 2.7.x and Python 3.x. # You may install `requests` to run this code: pip install requests # Please refer to `https://api.fanyi.baidu.com/doc/21` for complete api documen...
def translate(text, from_lang, to_lang): data = {'from': from_lang, 'to': to_lang, 'signType': 'v3', 'curtime': str(int(time.time())), 'appKey': APP_KEY, 'q': text, 'salt': str(uuid.uuid1()), 'vocabId': '' # 可选,用户词表ID ...
print text.translate(transtable) 当运行上面的程序时,我们得到以下输出 - Tuwyriazsxyinw - simxze easy zearning. 符号化 在Python中,标记化基本上是指将更大的文本体分成更小的行,单词甚至为非英语语言创建单词。各种标记化函数功能内置在nltk模块中,可以在程序中使用,如下所示。
content ="Several years ago,i went to study python in beijing"language_type ="en"url ="https://translation.googleapis.com/language/translate/v2"data= {'key':'API秘钥', #你自己的api密钥'source': language_type,'target':'zh-cn','q': content,'format':'text'} ...
Renders single source-language text to multiple target-language texts with a single request. Python複製 try: to_language = ["cs","es","de"] input_text_elements = ["This is a test"] response = text_translator.translate(body=input_text_elements, to_language=to_language) translation = respo...
deftokenize(x):x_tk=Tokenizer(char_level=False)x_tk.fit_on_texts(x)returnx_tk.texts_to_sequences(x),x_tk text_sentences=['The quick brown fox jumps over the lazy dog .','By Jove , my quick study of lexicography won a prize .','This is a short sentence .']text_tokenized,text...