计算机与数字工程2024，Vol.52Issue(6)：1676-1679,1713,5.DOI:10.3969/j.issn.1672-9722.2024.06.014
基于迁移学习与回译的航行通告双向机器翻译模型
Two-way Machine Translation Model of Notices to Navigation Based on Transfer Learning and Back Translation
摘要
Abstract
In order to improve the professionalism and accuracy of machine translation in the field of notice to air navigation,a two-way 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.The two-way machine translation model of the notice of air travel is obtained.Experiments show that the introduction of the data enhancement strategy of transfer learning and partial back translation improves the robustness of the mod-el and improves the translation quality.The BLEU value of the translation evaluation index of the Chinese-to-English model has in-creased by 2.08%.The BLEU value of the translation evaluation index increased by 3.12%.关键词
机器翻译/回译/迁移学习/鲁棒性/BLEU值Key words
machine translation/back translation/transfer learning/robustness/BLEU value分类
信息技术与安全科学引用本文复制引用
罗银辉,李荣枝,潘正宵,宋文韬..基于迁移学习与回译的航行通告双向机器翻译模型[J].计算机与数字工程,2024,52(6):1676-1679,1713,5.基金项目
国家自然科学基金项目"大数据驱动的飞行训练智能评估理论与方法"(编号:U2033213)资助. （编号:U2033213）
