Research on automatic error-checking in English short text translation by a neural network algorithm

IF 0.8 Q4 ROBOTICS
Liang Guo
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Abstract

With the growing population of English learners, how to improve the efficiency of English learning has become a focus of research. This article focuses on automatic error-checking in English short text translation. The Transformer model was enhanced by combining with the bidirectional gated recurrent unit (BiGRU) algorithm to create a dual-encoder model that better captures information within input sequences. Experiments were then conducted on different corpora. The improved Transformer model obtained a \({\text{F}}_{0.5}\) of 59.09 on CoNLL-2014 and 61.05 Google-bilingual evaluation understudy (GLEU) on JFLEG, both of which were better than the other methods compared. The case analysis showed that the improved Transformer model accurately found errors in short text translation. The findings indicate that the proposed approach is reliable in the automatic error-checking of English short text translation and can be applied in practice.

Abstract Image

神经网络算法在英语短文翻译中的自动查错研究
随着英语学习者人数的不断增加,如何提高英语学习效率已成为研究的重点。本文主要研究英语短文翻译中的自动错误检查。通过结合双向门控递归单元(BiGRU)算法,Transformer 模型得到了增强,从而创建了一个双编码器模型,能更好地捕捉输入序列中的信息。然后在不同的语料库中进行了实验。改进后的 Transformer 模型在 CoNLL-2014 上的 \({\{F}}_{0.5}\) 得分为 59.09,在 JFLEG 上的谷歌双语评估 understudy (GLEU) 得分为 61.05,均优于所比较的其他方法。案例分析表明,改进后的 Transformer 模型能准确发现短文翻译中的错误。研究结果表明,所提出的方法在英语短文翻译的自动查错方面是可靠的,可以在实践中应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.00
自引率
22.20%
发文量
101
期刊介绍: Artificial Life and Robotics is an international journal publishing original technical papers and authoritative state-of-the-art reviews on the development of new technologies concerning artificial life and robotics, especially computer-based simulation and hardware for the twenty-first century. This journal covers a broad multidisciplinary field, including areas such as artificial brain research, artificial intelligence, artificial life, artificial living, artificial mind research, brain science, chaos, cognitive science, complexity, computer graphics, evolutionary computations, fuzzy control, genetic algorithms, innovative computations, intelligent control and modelling, micromachines, micro-robot world cup soccer tournament, mobile vehicles, neural networks, neurocomputers, neurocomputing technologies and applications, robotics, robus virtual engineering, and virtual reality. Hardware-oriented submissions are particularly welcome. Publishing body: International Symposium on Artificial Life and RoboticsEditor-in-Chiei: Hiroshi Tanaka Hatanaka R Apartment 101, Hatanaka 8-7A, Ooaza-Hatanaka, Oita city, Oita, Japan 870-0856 ©International Symposium on Artificial Life and Robotics
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