Title: Multimedia-aided English online translation platform based on Bayesian theorem

Authors: Xinfei Wang

Addresses: School of English Studies, Shanghai International Studies University, Shanghai 200083, China

Abstract: In order to overcome the problems of the traditional online English translation platform, such as low translation efficiency, poor translation accuracy and small translation database capacity, a multimedia-aided online English translation platform based on Bayesian theorem is designed. The translation platform consists of display layer, permission control layer, logic control layer and data processing layer. This paper introduces Bayes' theorem and calculates the probability of translation from English to Chinese. In the design of query module, the translation of search words and thesaurus is selected based on Bayes' theorem, and the retrieval method is optimised. SQLite management system is used to manage the vocabulary data in the vocabulary, so as to complete the design of multimedia-assisted English online translation platform. Experimental results show that the translation accuracy of the platform designed in this paper fluctuates in the range of 86-95, and the translation time is always lower than 0.4 s, indicating that the platform not only has high translation efficiency and accuracy, but also can complete the translation of large volume data.

Keywords: Bayesian theorem; multimedia; English; translation platform; platform construction.

DOI: 10.1504/IJRIS.2020.111763

International Journal of Reasoning-based Intelligent Systems, 2020 Vol.12 No.4, pp.229 - 237

Received: 01 Feb 2019
Accepted: 02 Sep 2019

Published online: 03 Dec 2020 *

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