Research Article
Design of a Japanese Machine Translation System Based on Speech Recognition Technology
@INPROCEEDINGS{10.4108/eai.13-10-2023.2341282, author={Xiaoying Li}, title={Design of a Japanese Machine Translation System Based on Speech Recognition Technology}, proceedings={Proceedings of the 3rd International Conference on New Media Development and Modernized Education, NMDME 2023, October 13--15, 2023, Xi’an, China}, publisher={EAI}, proceedings_a={NMDME}, year={2024}, month={1}, keywords={speech recognition japanese semantics japanese translation system design}, doi={10.4108/eai.13-10-2023.2341282} }- Xiaoying Li
Year: 2024
Design of a Japanese Machine Translation System Based on Speech Recognition Technology
NMDME
EAI
DOI: 10.4108/eai.13-10-2023.2341282
Abstract
In order to enhance the accuracy of Japanese machine translation, this study proposes the design of a Japanese machine translation system based on speech recognition technology. The hardware components of the system include a speech recognition hardware selection unit and a Japanese semantic translation hardware selection unit. The software components consist of a Japanese automatic speech recognition module, a Japanese speech-to-semantic conversion module, and a Japanese automatic translation module. Through the design and development of the aforementioned hardware units and software modules, this research has achieved optimized performance of the Japanese machine translation system. The research results demonstrate that the system yields larger values for BLEU and NIST parameters, indicating higher accuracy in Japanese machine translation. The findings strongly indicate that the designed system provides superior Japanese machine translation performance and is suitable for extensive promotion and use.
