Research on Business English Translation Framework Based on Speech Recognition and Wireless Communication
In order to improve the accuracy of English translation, reduce the error rate of translation results, and increase the correction rate of translation, this paper proposes a business English translation architecture design based on speech recognition and wireless communication. The architecture is p...
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Hindawi Limited
2021-01-01
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Series: | Mobile Information Systems |
Online Access: | http://dx.doi.org/10.1155/2021/5575541 |
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doaj-8f2539d9f3d046ab8131cf545a4e99382021-07-02T21:32:58ZengHindawi LimitedMobile Information Systems1875-905X2021-01-01202110.1155/2021/5575541Research on Business English Translation Framework Based on Speech Recognition and Wireless CommunicationLeida Wu0Lianguan Wu1Cangzhou Medical CollegeBeijing Wohaole Technology Co. Ltd.In order to improve the accuracy of English translation, reduce the error rate of translation results, and increase the correction rate of translation, this paper proposes a business English translation architecture design based on speech recognition and wireless communication. The architecture is partitioned according to the functions of the overall system design, and the voice acquisition module, voice processing module, and peripheral circuit module are designed according to functional requirements. Among them, speech recognition helps users to perform language translation to reduce the possibility of errors in the translation process. At the same time, it uses wireless communication technology to construct a business English translation corpus to meet the personal needs of users. The paper also uses an improved translation model for translation error correction and intelligent proofreading, which improves the reliability of translation results. Experimental results show that the system has a high error correction rate and error correction rate, and the translation results have a certain degree of reliability, which fully verifies the effectiveness and application value of the system.http://dx.doi.org/10.1155/2021/5575541 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Leida Wu Lianguan Wu |
spellingShingle |
Leida Wu Lianguan Wu Research on Business English Translation Framework Based on Speech Recognition and Wireless Communication Mobile Information Systems |
author_facet |
Leida Wu Lianguan Wu |
author_sort |
Leida Wu |
title |
Research on Business English Translation Framework Based on Speech Recognition and Wireless Communication |
title_short |
Research on Business English Translation Framework Based on Speech Recognition and Wireless Communication |
title_full |
Research on Business English Translation Framework Based on Speech Recognition and Wireless Communication |
title_fullStr |
Research on Business English Translation Framework Based on Speech Recognition and Wireless Communication |
title_full_unstemmed |
Research on Business English Translation Framework Based on Speech Recognition and Wireless Communication |
title_sort |
research on business english translation framework based on speech recognition and wireless communication |
publisher |
Hindawi Limited |
series |
Mobile Information Systems |
issn |
1875-905X |
publishDate |
2021-01-01 |
description |
In order to improve the accuracy of English translation, reduce the error rate of translation results, and increase the correction rate of translation, this paper proposes a business English translation architecture design based on speech recognition and wireless communication. The architecture is partitioned according to the functions of the overall system design, and the voice acquisition module, voice processing module, and peripheral circuit module are designed according to functional requirements. Among them, speech recognition helps users to perform language translation to reduce the possibility of errors in the translation process. At the same time, it uses wireless communication technology to construct a business English translation corpus to meet the personal needs of users. The paper also uses an improved translation model for translation error correction and intelligent proofreading, which improves the reliability of translation results. Experimental results show that the system has a high error correction rate and error correction rate, and the translation results have a certain degree of reliability, which fully verifies the effectiveness and application value of the system. |
url |
http://dx.doi.org/10.1155/2021/5575541 |
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AT leidawu researchonbusinessenglishtranslationframeworkbasedonspeechrecognitionandwirelesscommunication AT lianguanwu researchonbusinessenglishtranslationframeworkbasedonspeechrecognitionandwirelesscommunication |
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