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Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29–31, 2022, Proceedings, Part I

Research Article

Application of Computer Intelligent Proofreading System in English Phrase Translation

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-23950-2_18,
        author={Huang Jing},
        title={Application of Computer Intelligent Proofreading System in English Phrase Translation},
        proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29--31, 2022, Proceedings, Part I},
        proceedings_a={BIGIOT-EDU},
        year={2023},
        month={1},
        keywords={Intelligent proofreading system Translation of English phrases System development},
        doi={10.1007/978-3-031-23950-2_18}
    }
    
  • Huang Jing
    Year: 2023
    Application of Computer Intelligent Proofreading System in English Phrase Translation
    BIGIOT-EDU
    Springer
    DOI: 10.1007/978-3-031-23950-2_18
Huang Jing1,*
  • 1: Wuhan Technology and Business University, Wuhan
*Contact email: 20071208017@wtbu.edu.cn

Abstract

This paper studies the application of computer proofreading system in English word translation. The technology is closely related to the development of computer technology, structural theory, linguistics and other fields. With the improvement of computing power and explosive availability of multilingual information resources, from early dictionaries to regular dictionary translation combined with language knowledge, and then to statistical machine translation based on thesaurus. Machine translation technology has begun to come out of the ivory tower and provide real-time translation services for simple users. We notice that the English translation proofreading system of grammar and sentence patterns is an important problem of correct proofreading, and the intelligent proofreading system based on the improved word translation model can not solve the inconsistency problem. Through the establishment of semantic text and word combination conversion algorithm to simulate the syntactic part. Through semantic feature analysis and word combination, optimize the automatic translation algorithm, load the translation algorithm, and design the automatic translation system software based on the embedded environment. Therefore, cross compiler and multi-threaded word translation are used to design the translation system automatically. The development process of software module mainly includes system application, network translation, customer, translation organization and management, online translation interaction and other modular structures. Finally, the design system is verified. The verification results show that the system can meet the requirements of users for horizontal demarcation and improve the efficiency of demarcation.

Keywords
Intelligent proofreading system Translation of English phrases System development
Published
2023-01-12
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-23950-2_18
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