English-Chinese News Text Translation Based on Deep Learning

Huanqi Cao

doi:10.47297/wspiedWSP2516-250003.20220610

PDF
Export
Share
Collection
Album

English-Chinese News Text Translation Based on Deep Learning

Volume 6, Issue 10

Views: 0 Downloads: 3

English-Chinese News Text Translation Based on Deep Learning
English-Chinese News Text Translation Based on Deep Learning
School of Electronic Engineering Beijing Jiaotong University, Beijing 100044, P.R. China
Vol. 6, Issue 10, Pages: 16-21(2022)
Published： 25 October 2022 ，
DOI：10.47297/wspiedWSP2516-250003.20220610
Accepted：

Scan QR Code

Cao Huanqi.English-Chinese News Text Translation Based on Deep Learning[J].Journal of International Education and Development,2022,06(10):16-21.
DOI：

Cao Huanqi.English-Chinese News Text Translation Based on Deep Learning[J].Journal of International Education and Development,2022,06(10):16-21. DOI： 10.47297/wspiedWSP2516-250003.20220610.

摘要

Abstract

This paper aims to establish a dataset of English and Chinese news texts and conduct deep learning based on transformer model to explore the translation quality of news texts in the application of deep learning. In this work

Transformer model is used to be the main methods to process data between two different languages's news text in the whole deep learning experiment. The experimental results show that for English and Chinese news texts

it has good learning effects

which greatly improved translation efficiency.

关键词

Keywords

TransformerNatural language processing

references

A. Vaswani, N. Shazeer, N. Parmar, et al. (2017) .Attention is all you need.In: Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, Long Beach, CA, pp. 5998-6008.

J. Devlin, M. W. Chang, K. Lee, et al. (2019). BERT: pre-training of deep bidirectional transformers for language understanding. In: the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Minneapolis, MN, 1:4171-4186.

X. Song, A. Salcianu, Y. Song, et al. (2021) .Fast word-piece tokenization. In: the 2021 Conference on Empirical Methods in Natural Language Processing, Punta Cana, pp. 2089-2103.

C. Park, C. Lee, Y. W. Yang, et al. (2020) . Ancient Korean neural machine translation. IEEE Access, 8:116617-116625.

Alert me when the article has been cited

Submit

No data

Related Author

No data

Related Institution

No data

⁰