Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 1


Published
on

June 22, 2023


Pages

2677-2686


DOI

Article

Construction of feature extraction model for machine foreign language translation evaluation system


Authors

Honghui Hu Affiliation:
School of Foreign Studies, Guangdong University of Finance &Economics, Guangzhou, 510320, China.


Abstract

To solve the problem that English and Chinese are different in many aspects and often misunderstood in communication, the author proposes a machine foreign language translation evaluation system based on Internet of Things automation technology. By designing an interactive English-Chinese machine translation A system based on the B/S framework can help improve communication between English and Chinese. The system is based on the B/S three-layer architecture, and the system hardware part only focuses on basic language recognition hardware, English-Chinese translation hardware, and production tools; The software produces three main services, which are user access to the application, language recognition, and English-Chinese service. According to the test results: After the translation was evaluated by experts using a system developed for translation, the evaluation score of the book is 3.769 points. The language is 3.5 points, which is above the limit value of the design standard. Conclusion: It is proved that the translation quality of the system is high and meets the demands of the users.


Keywords

Interactive translation, English-Chinese translation, B/S framework, system design, translation performance test, system test, 01A75


Citation

Hu, H. (2023). Construction of feature extraction model for machine foreign language translation evaluation system. Applied Mathematics and Nonlinear Sciences, 8(1), 2677–2686. https://doi.org/10.2478/amns.2023.1.00448

Published by: Engineering Journals

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