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

Autor: Hu Honghui
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 2, Pp 2677-2686 (2023)
Druh dokumentu: article
ISSN: 2444-8656
DOI: 10.2478/amns.2023.1.00448
Popis: 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.
Databáze: Directory of Open Access Journals