Asynchronous and segmented bidirectional encoding for NMT

Jingpu Yang; Zehua Han; Mengyu Xiang; Henlin Wang; Yuxiao Huang; Miao Fang

doi:10.1117/12.3033720

13 June 2024 Asynchronous and segmented bidirectional encoding for NMT

Jingpu Yang, Zehua Han, Mengyu Xiang, Henlin Wang, Yuxiao Huang, Miao Fang

Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 1318052 (2024) https://doi.org/10.1117/12.3033720
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China

Abstract

With the rapid advancement of Neural Machine Translation (NMT), enhancing translation efficiency and quality has become a focal point of research. Despite the commendable performance of general models such as the Transformer in various aspects, they still fall short in processing long sentences and fully leveraging bidirectional contextual information. This paper introduces an improved model based on the Transformer, implementing an asynchronous and segmented bidirectional decoding strategy aimed at elevating translation efficiency and accuracy. Compared to traditional unidirectional translations from left-to-right or right-to-left, our method demonstrates heightened efficiency and improved translation quality, particularly in handling long sentences. Experimental results on the IWSLT2017 dataset confirm the effectiveness of our approach in accelerating translation and increasing accuracy, especially surpassing traditional unidirectional strategies in long sentence translation. Furthermore, this study analyzes the impact of sentence length on decoding outcomes and explores the model's performance in various scenarios. The findings of this research not only provide an effective encoding strategy for the NMT field but also pave new avenues and directions for future studies.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jingpu Yang, Zehua Han, Mengyu Xiang, Henlin Wang, Yuxiao Huang, and Miao Fang "Asynchronous and segmented bidirectional encoding for NMT", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 1318052 (13 June 2024); https://doi.org/10.1117/12.3033720

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