参考文献/References:
[1] Wu Felix,Fan Angela,Baevski A,et al.Pay less attention with lightweight and dynamic convolutions[EB/OL].[2019-05-11].https://arxiv.org/abs/1901.10430v1.
[2] Sutskever I,Vinyals O,Le Q V.Sequence to sequence learning with neural networks[EB/OL].[2019-03-16].https://arxiv.org/abs/1409.3215.
[3] Bahdanau D,Cho K,Bengio Y.Neural machine translation by jointly learning to align and translate[EB/OL].[2019-05-11].https://arxiv.org/abs/1409.0473.
[4] Wu Yonghui,Schuster M,Chen Zhifeng,et al.Google's neural machine translation system:bridging the gap between human and machine translation[EB/OL].[2019-04-10].http://arxiv.org/pdf/1609.08144v1.
[5] Gehring J,Auli M,Grangier D,et al.Convolutional sequence to sequence learning[C]∥DoinaPrecup,Yee Whye The.Proceedings of the 34th International Conference on Machine Learning.Sydney,NSW,Australia:PMLR,2017:1243-1252.
[6] Vaswani A,Shazeer N,Parmar N,et al.Attention is all you need[C]∥Isabelle Guyon,Ulrike von Luxburg,SamyBengio,et al.Advances in neural information processing systems.30:Annual Conference on Neural Information Processing Systems.Long Beach,CA,USA:NIPS,2017:5998-6008.
[7] Wang Yuguang,Cheng Shanbo,Jiang Liyang,et al.Sogou neural machine translation systems for wmt17[EB/OL].[2019-04-18].https://www.aclweb.org/anthology/W17-4742.pdf.
[8] Deng Yongchao,Cheng Shanbo,Lu Jun,et al.Alibaba's neural machine translation systems for wmt18[EB/OL].[2019-04-25].https://dblp.uni-trier.de/pers/hd/c/Cheng:Shanbo.
[9] Sennrich R,Haddow B,Birch A.Neural machine translation of rare words with subword units[EB/OL].[2019-05-11].https://arxiv.org/abs/1508.07909.
[10] Sennrich R,Haddow B,Birch A.Improving neural machine translation models with monolingual data[EB/OL].[2019-05-11].https://arxiv.org/abs/1511.06709.
[11] Edunov S,Ott M,Auli M,et al.Understanding back-translation at scale[EB/OL].[2019-05-11].https://arxiv.org/abs/1808.09381.
[12] Ott M,Edunov S,Baevski A,et al.Fairseq:a fast,extensible toolkit for sequence modeling[EB/OL].[2019-03-25].https://arxiv.org/abs/1904.01038v1.
[13] Kingma D P,Ba J.Adam:a method for stochastic optimization[EB/OL].[2019-05-25].https://arxiv.org/abs/1412.6980.
[14] Papineni K,Roukos S,Ward T,et al.BLEU:a method for automatic evaluation of machine translation[EB/OL].[2019-03-22].https://www.bibsonomy.org/bibtex/20f9b18cd58fb3a930a96fe9fa9f39896/izzy278.
[15] Koehn P,Hoang H,Birch A,et al.Moses:open source toolkit for statistical machine translation[EB/OL].[2019-03-29].http://cs.jhu.edu/～ccb/publications/jhu-summer-workshop-final-report.pdf.
[16] Luo Ruixuan,Xu Jingjing,Zhang Yi,et al.PKUSEG:a toolkit for multi-domain Chinese word segmentation[EB/OL].[2019-03-29].https://www.researchgate.net/publication/334082086_PKUSEG_A_Toolkit_for_Multi-Domain_Chinese_Word_Segmentation.
相似文献/References:
[1]赵 阳,周 龙,王 迁,等.民汉稀缺资源神经机器翻译技术研究[J].江西师范大学学报(自然科学版),2019,(06):630.[doi:10.16357/j.cnki.issn1000-5862.2019.06.12]
ZHAO Yang,ZHOU Long,WANG Qian,et al.The Study on Ethnic-to-Chinese Scare-Resource Neural Machine Translation[J].Journal of Jiangxi Normal University:Natural Science Edition,2019,(06):630.[doi:10.16357/j.cnki.issn1000-5862.2019.06.12]
[2]谷舒豪,单 勇,谢婉莹,等.基于数据增强及领域适应的神经机器翻译技术[J].江西师范大学学报(自然科学版),2019,(06):643.[doi:10.16357/j.cnki.issn1000-5862.2019.06.14]
GU Shuhao,SHAN Yong,XIE Wanying,et al.The Neural Machine Translation Based on Data Augmentation and Domain Adaptation Technology[J].Journal of Jiangxi Normal University:Natural Science Edition,2019,(06):643.[doi:10.16357/j.cnki.issn1000-5862.2019.06.14]
[3]刘俊鹏,宋鼎新,张一鸣,等.多种数据泛化策略融合的神经机器翻译系统[J].江西师范大学学报(自然科学版),2020,(01):39.[doi:10.16357/j.cnki.issn1000-5862.2020.01.07]
LIU Junpeng,SONG Dingxin,ZHANG Yiming,et al.The Neural Machine Translation System of Multiple Data Generalization Fusion[J].Journal of Jiangxi Normal University:Natural Science Edition,2020,(06):39.[doi:10.16357/j.cnki.issn1000-5862.2020.01.07]