参考文献/References:
[1] Sutskever I,Vinyals O,Le Quoc V.Sequence to sequence learning with neural networks[EB/OL].[2019-06-17].https://arxiv.org/abs/1409.3215.
[2] Hochreiter S,Schmidhuber J.Long short-term memory[J].Neural Computation,1997,9(8):1735-1780.
[3] Cho K,Merrienboer B,Gulcehre C,et al.Learning phrase representations using RNN encoder-decoder for statistical machine translation[EB/OL].[2019-06-17].https://arxiv.org/abs/1406.1078.
[4] Bahdanau D,Cho K,Bengio Y.Neural machine translation by jointly learning to align and translate[EB/OL].[2019-06-17].https://arxiv.org/abs/1409.0473v2.
[5] Koehn P,Och F J,Marcu D.Statistical phrase-based translation[EB/OL].[2019-06-17].http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.69.4271.
[6] Chiang D.A hierarchical phrase-based model for statistical machine translation[EB/OL].[2019-06-17].https://dl.acm.org/citation.cfm?doid=1219840.1219873.
[7] Vaswani A,Shazeer N,Parmar N,et al.Attention is all you need[EB/OL].[2019-06-17].https://arxiv.org/abs/1706.03762.
[8] Ba J L,Kiros J R,Hinton G E.Layer normalization[EB/OL].[2019-06-17].http://arxiv.org/abs/1607.06450.
[9] He Kaiming,Zhang Xiangyu,Ren Shaoqing,et al.Identity mappings in deep residual networks[C].Amsterdam:Springer,2016:630-645.
[10] Xiao Tong,Zhu Jingbo,Zhang Hao,et al.NiuTrans:an open source toolkit for phrase-based and syntax-based machine translation[C].Jeju:Association for Computational Linguistics,2012:19-24.
[11] Senntich R,Haddow B,Brich A.Neural machine translation of rare words with subword units[C].Berlin:Association for Computational Linguistics,2016:1715-1725.
[12] Huang Fei,Vogel S,Waibel A.Automatic extraction of named entity translingual equivalence based on multi-feature cost minimization[C].Sapporo:Association for Computational Linguistics,2003:9-16.
[13] Feng Donghui,Lü Yajuan,Zhou Ming.A new approach for English-Chinese named entity alignment[C].Barcelona:Association for Computational Linguistics,2004:372-379.
[14] Sennrich R,Haddow B,Birch A.Edinburgh neural machine translation systems for WMT 16[C].Berlin:Association for Computational Linguistics,2016:371-376.
[15] Sennrich R,Birch A,Currey A,et al.The University of Edinburgh's Neural MT Systems for WMT17[C].Copenhagen:Association for Computational Linguistics,2017:389-399.
[16] Wang Yuguang,Cheng Shanbo,Jiang Liyang,et al.Sogou neural machine translation systems for wmt17[C].Copenhagen:Association for Computational Linguistics,2017:410-415.
[17] Kingma D P,Ba J.Adam:a method for stochastic optimization[EB/OL].[2019-06-17].https://arxiv.org/abs/1412.6980.
[18] Wu Yonghui,Schuster M,CHEN Zhifeng,et al.Google's neural machine translation system:bridging the gap between human and machine translation[EB/OL].[2016-10-08][2019-08-29].http://arxiv.org/pdf/1609.08144.pdf.
[19] Chiang D,Deneefe S,Chan Yee Seng,et al.Decomposability of translation metrics for improved evaluation and efficient algorithms[C].Honolulu:Association for Computational Linguistics,2008:610-619.
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