Python Baidu Translation API implements Hokkien translation

Python Baidu Translation API implements Hokkien translation

Hokkien is a dialect widely used in Fujian, Taiwan, Chaoshan and other places in China. In daily communication and exchanges, we often encounter scenarios where we need to translate into Hokkien. This article will introduce how to use Python's Baidu Translation API to implement Hokkien translation and provide corresponding code examples.

1. Baidu Translation API

Baidu Translation API is an online translation service based on machine learning, providing translation functions between multiple languages. It supports calls from multiple programming languages, including Python.

To use the Baidu Translation API, you first need to register an account on the Baidu Translation Open Platform and create a new application. After creating an application, you can obtain the API Key and Secret Key as credentials for calling the API.

2. Install the Python library of Baidu Translation API

To use Baidu Translation API in Python, you need to install the corresponding Python library. You can use the pip command to install:

pip install baidu-aip

After the installation is complete, you can import the corresponding library:

from aip import AipNlp

3. Initialize API

Before using the API, The API needs to be initialized first. Use API Key, Secret Key and App ID to initialize:

APP_ID = 'your_app_id'
API_KEY = 'your_api_key'
SECRET_KEY = 'your_secret_key'

client = AipNlp(APP_ID, API_KEY, SECRET_KEY)

4. Realize Hokkien translation

The process of using Baidu Translation API for Hokkien translation can be divided into two Steps: Identify language and translate.

First, you need to identify the language of the input text. You can use the API's detectLang method:

def detect_language(text):
    result = client.detection(text)
    language = result['items'][0]['language']
    return language

Then, use the API's translate method to translate according to the recognized language:

def translate_text(text, from_lang, to_lang):
    result = client.translate(text, from_lang, to_lang)
    translation = result['trans_result']['dst']
    return translation

Complete The code example is as follows:

from aip import AipNlp

APP_ID = 'your_app_id'
API_KEY = 'your_api_key'
SECRET_KEY = 'your_secret_key'

client = AipNlp(APP_ID, API_KEY, SECRET_KEY)

def detect_language(text):
    result = client.detection(text)
    language = result['items'][0]['language']
    return language

def translate_text(text, from_lang, to_lang):
    result = client.translate(text, from_lang, to_lang)
    translation = result['trans_result']['dst']
    return translation

def main():
    text = input("请输入需要翻译的闽南语：")
    from_lang = detect_language(text)
    to_lang = 'zh'

    translation = translate_text(text, from_lang, to_lang)
    print("翻译结果：", translation)

if __name__ == '__main__':
    main()

In the above code, after inputting the Hokkien text that needs to be translated, the program will automatically identify the language and translate it, and finally output the translation result.

This article introduces how to use Python's Baidu Translation API to implement Hokkien translation, and provides corresponding code examples. Through this example, we can easily implement translation functions between multiple languages ​​and improve the convenience of cross-language communication.

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