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 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.

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Research on Business English Translation Architecture Based on Artificial Intelligence Speech Recognition and Edge Computing

Wireless Communications and Mobile Computing ◽

10.1155/2021/5518868 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Yunwei Xu

Keyword(s):

Artificial Intelligence ◽

Speech Recognition ◽

News Media ◽

English Translation ◽

Chinese Culture ◽

Online News ◽

Edge Computing ◽

Target Language ◽

Translation System ◽

Business English

In today’s society, the continuous deepening of international cultural integration has become the background of the times. China has become more and more closely connected with the world, and many physical or online news media have become a platform for China to receive world information and spread Chinese culture. Business English translation is therefore valued by translation researchers and translators. Aiming at the shortcomings of current business English translation research, this paper designs and develops a business English translation architecture based on artificial intelligence speech recognition and edge computing. First of all, considering the relevance and complementarity between speech and text modalities, this paper uses the deep neural network feature fusion method to effectively fuse the extracted monomodal features and perform speech recognition. Secondly, adopt the edge computing method to establish the business English translation system architecture. Finally, the simulation test analysis verifies the efficiency of the business English translation framework established in this paper. Compared with the existing methods, our proposal improved the accuracy than others at least 10% and the time of model building also decreased obviously. The purpose of this research is to discuss how to deal with the many differences between the source language and the target language, and how to enhance the readability of the translation and meet the reader’s cultural cognition and needs.

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Research on Text Error Correction Algorithm after Automatic Speech Recognition Based on Pragmatic Information

2020 International Conference on Control, Robotics and Intelligent System ◽

10.1145/3437802.3437830 ◽

2020 ◽

Author(s):

Yiming Sun ◽

Tianyu Xiao ◽

Chen Yang ◽

Wei Liu

Keyword(s):

Speech Recognition ◽

Error Correction ◽

Automatic Speech Recognition ◽

Correction Algorithm ◽

Pragmatic Information ◽

Error Correction Algorithm

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Technical Note: theoretical and simulation approaches to error correction strategies in automatic speech recognition

International Journal of Man-Machine Studies ◽

10.1006/imms.1993.1071 ◽

1993 ◽

Vol 39 (3) ◽

pp. 517-520

Author(s):

W.A. Ainsworth

Keyword(s):

Speech Recognition ◽

Error Correction ◽

Automatic Speech Recognition ◽

Technical Note ◽

Correction Strategies

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Measuring Dynamic Sales Impacts of LBA Using Wireless Communication Technology

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.662.896 ◽

2013 ◽

Vol 662 ◽

pp. 896-901

Author(s):

Zong Jin Liu ◽

Yang Yang ◽

Zheng Fang ◽

Yan Yan Xu

Keyword(s):

Wireless Communication ◽

Error Correction ◽

Communication Technology ◽

Dynamic Error ◽

Rapid Development ◽

Vector Autoregressive ◽

Vector Error Correction ◽

Vector Error ◽

Equilibrium Relationship

Because of rapid development of wireless communication technology, there is an increasing adoption of mobile advertising, such as location based advertising (LBA). To what extent can LBA improve advertising effectiveness is an important topic in the field of wireless communication technology research. Most researches quantify long term impacts of advertisings by VAR (Vector Autoregressive) model. However, compared to VAR model, VECM (Vector Error Correction Model) is a better method in that it allows one to estimate both a long-term equilibrium relationship and a short-term dynamic error correction process. In this study, we employ VECM to explore LBA’s (Location Based Advertising) and PUA’s (Pop-up Advertising) sales impact in both short and long terms. The developed VECM reveals that LBA’s sales impact is about more than2 times as big as PUA’s in short dynamic term and nearly 6 times bigger than PUA’s in long equilibrium term. These findings add to advertising and VECM literatures. These results can give managers more confident to apply wireless communication technology to advertising.

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Simple gesture-based error correction interface for smartphone speech recognition

10.21437/interspeech.2014-302 ◽

2014 ◽

Author(s):

Yuan Liang ◽

Koji Iwano ◽

Koichi Shinoda

Keyword(s):

Speech Recognition ◽

Error Correction

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Wireless Communication Technologies for Safe Cooperative Cyber Physical Systems

Sensors ◽

10.3390/s18114075 ◽

2018 ◽

Vol 18 (11) ◽

pp. 4075 ◽

Cited By ~ 3

Author(s):

Ali Balador ◽

Anis Kouba ◽

Dajana Cassioli ◽

Fotis Foukalas ◽

Ricardo Severino ◽

...

Keyword(s):

Wireless Communication ◽

Communication Technologies ◽

Cyber Physical Systems ◽

Use Cases ◽

Functional Requirements ◽

Physical Systems ◽

Safety Design ◽

Standardization Process ◽

Design Requirements ◽

Eu Project

Cooperative Cyber-Physical Systems (Co-CPSs) can be enabled using wireless communication technologies, which in principle should address reliability and safety challenges. Safety for Co-CPS enabled by wireless communication technologies is a crucial aspect and requires new dedicated design approaches. In this paper, we provide an overview of five Co-CPS use cases, as introduced in our SafeCOP EU project, and analyze their safety design requirements. Next, we provide a comprehensive analysis of the main existing wireless communication technologies giving details about the protocols developed within particular standardization bodies. We also investigate to what extent they address the non-functional requirements in terms of safety, security and real time, in the different application domains of each use case. Finally, we discuss general recommendations about the use of different wireless communication technologies showing their potentials in the selected real-world use cases. The discussion is provided under consideration in the 5G standardization process within 3GPP, whose current efforts are inline to current gaps in wireless communications protocols for Co-CPSs including many future use cases.

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