People of various countries communicate more frequently, and as a new medium for recording and disseminating information, online news, with its real-time, authenticity, and wide coverage, has enabled more and more people to learn more through the window of news. Information from abroad. However, language barriers have become the biggest obstacle to communication and exchanges between countries and people in the region. During the critical period of actively promoting the “Belt and Road” strategy, the demand for translation of news reports, government documents and other texts in various languages has increased greatly. However, manual translation cannot meet the existing large-scale text translation needs. This paper studies and analyzes the intelligent machine translation of Chinese English news based on the background of communication perspectives and a priori model.


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    Title :

    Intelligent Machine Translation of Chinese English News in the Context of Communication Observations and a Priori Modeling


    Contributors:
    Zhu, Min (author)


    Publication date :

    2021-12-02


    Size :

    885822 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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