Theoretical and Natural Science

Theoretical and Natural Science

TNS Vol.2 (CIAP 2022), 02 February 2023


Open Access | Article

Neural Machine Translation in Translation and Program Repair

Tingsong Huang * 1 , Yifei Jia 2 , Haohua Pang 3 , Zhe Sun 4
1 College of Computer and Data Science, Fuzhou University, Fuzhou, Fujian, 350108, China
2 Jinan-Birmingham Joint Institute, Jinan University, Guangzhou, Guangdong, 511436, China
3 Division of Science and Technology, Beijing Normal University - Hong Kong Baptist University United International College, Zhuhai, Guangdong, 519087, China
4 School of Business and Management, Jilin University, Changchun, Jilin, 130015, China

* Author to whom correspondence should be addressed.

Theoretical and Natural Science, TNS Vol.2 (CIAP 2022), 145-154
Published 02 February 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Tingsong Huang, Yifei Jia, Haohua Pang, Zhe Sun. Neural Machine Translation in Translation and Program Repair. TNS (2023) TNS Vol.2 (CIAP 2022): 145-154.

Abstract

Translation is a challenge for humans since it needs a good command of two or more languages. When it comes to computer programs, it is even more complex as it is difficult for computers to imitate human translators. With the emergence of deep learning algorithms, especially neural network architectures, neural machine translation (NMT) models gradually outperformed previous machine translation models and became the new mainstream in practical machine translation (MT) systems. Nowadays, NMT has been developing for several years and has been applied in many fields. This paper is focused on studies on four different application categories of NMT models: 1) Text NMT; 2) Automatic program repair (based on NMT); 3) Simultaneous translation. Our work provides a summary of the latest research on different applications of NMT and makes comments on their development in the future. This paper also mentioned the shortcomings of existing studies in this essay and pointed out some possible research directions.

Keywords

automatic program repair, text NMT, neural machine translation

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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