Two-way machine translation model of notices to navigation based on transfer learning and back translation

Yin-Hui Luo; Rong-Zhi Li; Zheng-Xiao Pan; Jia-Xing Zheng; Yuan-Yang Liu

doi:10.1117/12.2631833

14 April 2022 Two-way machine translation model of notices to navigation based on transfer learning and back translation

Yin-Hui Luo, Rong-Zhi Li, Zheng-Xiao Pan, Jia-Xing Zheng, Yuan-Yang Liu

Author Affiliations +

Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 121782B (2022) https://doi.org/10.1117/12.2631833
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China

Abstract

In order to improve the professionalism and accuracy of machine translation in the field of notice to air navigation, a twoway machine translation model of notice to air navigation based on transfer learning and back translation is proposed to solve the problem of the parallel corpus of machine translation in the field of air notice. On the basis of training the machine translation of People’s Daily, the parameters obtained from the training are transferred to the encoding end and the decoding end of the machine translation model of the partly back-translated announcements to initialize the parameters at both ends, and adjust the parameters at both ends through experiments. Obtain the two-way machine translation model of the notice of air travel. Experiments show that the introduction of the data enhancement strategy of transfer learning and partial back translation improves the robustness of the model and improves the translation quality. The BLEU value of the translation evaluation index of the Chinese-to-English model has increased by 2.08%. The BLEU value of the translation evaluation index increased by 3.12 percentage points

Citation Download Citation

Yin-Hui Luo, Rong-Zhi Li, Zheng-Xiao Pan, Jia-Xing Zheng, and Yuan-Yang Liu "Two-way machine translation model of notices to navigation based on transfer learning and back translation", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 121782B (14 April 2022); https://doi.org/10.1117/12.2631833

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Data modeling

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