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Python Baidu Translation API implements Jiangsu dialect translation
Introduction:
With the development of artificial intelligence, the accuracy and intelligence of machine translation are also constantly improving. Baidu Translation API is a very powerful machine translation service that can meet various translation needs. This article will introduce how to use Python Baidu Translation API to implement Jiangsu dialect translation, and give code examples.
Preparation work:
Install the Python SDK of Baidu Translation API
You can install it by running the following command from the command line:
pip install baidu-aip
Code example:
from aip import AipNlp # 输入你的APP_ID、API_KEY和SECRET_KEY APP_ID = 'your_app_id' API_KEY = 'your_api_key' SECRET_KEY = 'your_secret_key' # 创建一个AipNlp对象 client = AipNlp(APP_ID, API_KEY, SECRET_KEY) # 定义一个函数实现江苏话翻译 def translate_to_jiangsu(text): # 设置待翻译文本和目标语言 params = {'text': text, 'from': 'auto', 'to': 'zh'} # 调用百度翻译API进行翻译 result = client.translate(params) # 解析翻译结果 if 'trans_result' in result: translation = result['trans_result'][0]['dst'] return translation else: return '翻译失败' # 测试翻译函数 text = 'Hello, world!' translation = translate_to_jiangsu(text) print(f'翻译前:{text}') print(f'翻译后:{translation}')
Explanation:
AipNlp
module, which is the Python version of Baidu Translation API Encapsulation. APP_ID
, API_KEY
and SECRET_KEY
are set, which are obtained by creating an application on the Baidu Translation Open Platform. AipNlp
object, initialized with APP_ID
, API_KEY
and SECRET_KEY
. translate_to_jiangsu
, which accepts a text to be translated, calls Baidu Translate API for translation, and returns the translation result. translate_to_jiangsu
function, translated the text Hello, world!
into Jiangsu dialect, and printed the text before and after translation. Summary:
This article introduces how to use Python Baidu Translation API to implement Jiangsu dialect translation, and gives corresponding code examples. You can change the target language and text to be translated according to your needs, and use Baidu Translation API for translation. I hope this article is helpful to you, thank you for reading!
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