Fetching the paper…
Reading the bibliography…
Neural machine translation (NMT) takes deterministic sequences for source representations.
Chinese word segmentation: Another decade review (2007-2017)
Hai Zhao, Deng Cai, Changning Huang, and Chunyu Kit. 2019 · 1901
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Clause restructuring for statistical machine translation
Michael Collins, Philipp Koehn, and Ivona Kučerová. 2005 · 2005
Earlier work this paper cites.
The second international Chinese word segmentation bakeoff
Thomas Emerson. 2005 · 2005
Earlier work this paper cites.
Integrated Chinese word segmentation in statistical machine translation
Jia Xu, Evgeny Matusov, Richard Zens, and Hermann Ney. 2005 · 2005
Earlier work this paper cites.
The Penn Chinese TreeBank: Phrase structure annotation of a large corpus
Naiwen Xue, Fei Xia, Fu-Dong Chiou, and Marta Palmer. 2005 · 2005
Earlier work this paper cites.
Generalizing word lattice translation
Christopher Dyer, Smaranda Muresan, and Philip Resnik. 2008 · 2008
Earlier work this paper cites.
Word lattice reranking for Chinese word segmentation and part-of-speech tagging
Wenbin Jiang, Haitao Mi, and Qun Liu. 2008 · 2008
Earlier work this paper cites.
Integrating unsupervised and supervised word segmentation: The role of goodness measures
Hai Zhao and Chunyu Kit. 2011 · 2011
Earlier work this paper cites.
A lattice-based framework for joint Chinese word segmentation, POS tagging and parsing
Zhiguo Wang, Chengqing Zong, and Nianwen Xue. 2013 · 2013
Earlier work this paper cites.
An empirical study on word segmentation for Chinese machine translation
Hai Zhao, Masao Utiyama, Eiichiro Sumita, and Bao-Liang Lu. 2013 · 2013
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
Earlier work this paper cites.
Character-based neural machine translation
Wang Ling, Isabel Trancoso, Chris Dyer, and Alan W. Black. 2015 · 2015
Earlier work this paper cites.
Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2015 · 2015
Cited alongside, same era.
Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. 2016 · 2016
Cited alongside, same era.
Neural word segmentation learning for Chinese
Deng Cai and Hai Zhao. 2016 · 2016
Cited alongside, same era.
Character-based neural machine translation
Marta R Costa-Jussa and José AR Fonollosa. 2016 · 2016
Cited alongside, same era.
Fully character-level neural machine translation without explicit segmentation
Revisiting character-based neural machine translation with capacity and compression
Colin Cherry, George Foster, Ankur Bapna, Orhan Firat, and Wolfgang Macherey. 2018 · 2018
Later among the works it cites.
Subword regularization: Improving neural network translation models with multiple subword candidates
Taku Kudo. 2018 · 2018
Later among the works it cites.
Seq2seq dependency parsing
Zuchao Li, Jiaxun Cai, Shexia He, and Hai Zhao. 2018 · 2018
Later among the works it cites.
Nict’s neural and statistical machine translation systems for the wmt18 news translation task
Benjamin Marie, Rui Wang, Atsushi Fujita, Masao Utiyama, and Eiichiro Sumita. 2018 · 2018
Later among the works it cites.
Improving neural machine translation by incorporating hierarchical subword features
Makoto Morishita, Jun Suzuki, and Masaaki Nagata. 2018 · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Jason Lee, Kyunghyun Cho, and Thomas Hofmann. 2016 · 2016
Cited alongside, same era.
Achieving open vocabulary neural machine translation with hybrid word-character models
Minh-Thang Luong and Christopher D. Manning. 2016 · 2016
Cited alongside, same era.
A character-aware encoder for neural machine translation
Zhen Yang, Wei Chen, Feng Wang, and Bo Xu. 2016 · 2016
Cited alongside, same era.
Fast and accurate neural word segmentation for Chinese
Deng Cai, Hai Zhao, Zhisong Zhang, Yuan Xin, Yongjian Wu, and Feiyue Huang. 2017 · 2017
Cited alongside, same era.
Neural machine translation with source dependency representation
Kehai Chen, Rui Wang, Masao Utiyama, Lemao Liu, Akihiro Tamura, Eiichiro Sumita, and Tiejun Zhao. 2017 · 2017
Cited alongside, same era.
Opennmt: Open-source toolkit for neural machine translation
Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, and Alexander M Rush. 2017 · 2017
Cited alongside, same era.
Neural lattice-to-sequence models for uncertain inputs
Matthias Sperber, Graham Neubig, Jan Niehues, and Alex Waibel. 2017 · 2017
Cited alongside, same era.
Lattice-based recurrent neural network encoders for neural machine translation
Jinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi, and Yang Liu. 2017 · 2017
Cited alongside, same era.
Peter Shaw, Jakob Uszkoreit, and Ashish Vaswani. 2018 · 2018
Later among the works it cites.
Sentence selection and weighting for neural machine translation domain adaptation
Rui Wang, Masao Utiyama, Andrew Finch, Lemao Liu, Kehai Chen, and Eiichiro Sumita. 2018 · 2018
Later among the works it cites.
Dynamic sentence sampling for efficient training of neural machine translation
Rui Wang, Masao Utiyama, and Eiichiro Sumita. 2018 · 2018
Later among the works it cites.
Finding better subword segmentation for neural machine translation
Yingting Wu and Hai Zhao. 2018 · 2018
Later among the works it cites.
Chinese NER using lattice LSTM
Yue Zhang and Jie Yang. 2018 · 2018
Later among the works it cites.
Exploring recombination for efficient decoding of neural machine translation
Zhisong Zhang, Rui Wang, Masao Utiyama, Eiichiro Sumita, and Hai Zhao. 2018 · 2018
Later among the works it cites.
Dependency or span, end-to-end uniform semantic role labeling
Zuchao Li, Shexia He, Hai Zhao, Yiqing Zhang, Zhuosheng Zhang, Xi Zhou, and Xiang Zhou. 2019 · 2019
Closest in time.
Subword encoding in lattice LSTM for Chinese word segmentation
Jie Yang, Yue Zhang, and Shuailong Liang. 2019 · 2019
Closest in time.
Minimum divergence vs. maximum margin: An empirical comparison on seq2seq models
Huan Zhang and Hai Zhao. 2019 · 2019
Closest in time.
Neural-based pinyin-to-character conversion with adaptive vocabulary
Zhuosheng Zhang, Yafang Huang, and Hai Zhao. 2019 · 2019
Closest in time.
Head-driven phrase structure grammar parsing on Penn Treebank
Junru Zhou and Hai Zhao. 2019 · 2019
Closest in time.
Syntax for semantic role labeling, to be, or not to be
Shexia He, Zuchao Li, Hai Zhao, and Hongxiao Bai. 2018 · 2071
Closest in time.