暂无分享,去创建一个
[1] Philipp Koehn,et al. Findings of the 2015 Workshop on Statistical Machine Translation , 2015, WMT@EMNLP.
[2] Yann Dauphin,et al. Convolutional Sequence to Sequence Learning , 2017, ICML.
[3] Jason Lee,et al. Fully Character-Level Neural Machine Translation without Explicit Segmentation , 2016, TACL.
[4] Yonatan Belinkov,et al. What do Neural Machine Translation Models Learn about Morphology? , 2017, ACL.
[5] Matt Post,et al. We start by defining the recurrent architecture as implemented in S OCKEYE , following , 2018 .
[6] Ankur Bapna,et al. Revisiting Character-Based Neural Machine Translation with Capacity and Compression , 2018, EMNLP.
[7] Joakim Nivre,et al. Encoders Help You Disambiguate Word Senses in Neural Machine Translation , 2019, EMNLP/IJCNLP.
[8] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[9] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[10] Joakim Nivre,et al. An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation , 2018, WMT.
[11] Jörg Tiedemann,et al. The MuCoW Test Suite at WMT 2019: Automatically Harvested Multilingual Contrastive Word Sense Disambiguation Test Sets for Machine Translation , 2019, WMT.
[12] Yonatan Belinkov,et al. Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks , 2017, IJCNLP.
[13] Ankur Bapna,et al. The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation , 2018, ACL.
[14] Jörg Tiedemann,et al. An Analysis of Encoder Representations in Transformer-Based Machine Translation , 2018, BlackboxNLP@EMNLP.
[15] James R. Glass,et al. On the Linguistic Representational Power of Neural Machine Translation Models , 2019, CL.
[16] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[17] Yang Liu,et al. Visualizing and Understanding Neural Machine Translation , 2017, ACL.
[18] Christof Monz,et al. An Intrinsic Nearest Neighbor Analysis of Neural Machine Translation Architectures , 2019, MTSummit.
[19] Rico Sennrich,et al. Neural Machine Translation of Rare Words with Subword Units , 2015, ACL.
[20] Omer Levy,et al. What Does BERT Look at? An Analysis of BERT’s Attention , 2019, BlackboxNLP@ACL.
[21] Rico Sennrich,et al. The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives , 2019, EMNLP.
[22] Preslav Nakov,et al. One Size Does Not Fit All: Comparing NMT Representations of Different Granularities , 2019, NAACL.
[23] Douwe Kiela,et al. No Training Required: Exploring Random Encoders for Sentence Classification , 2019, ICLR.
[24] Yonatan Belinkov,et al. On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference , 2018, NAACL.
[25] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.
[26] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[27] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[28] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[29] Phil Blunsom,et al. Recurrent Continuous Translation Models , 2013, EMNLP.
[30] Xing Wang,et al. Towards Understanding Neural Machine Translation with Word Importance , 2019, EMNLP.
[31] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[32] Matt Post,et al. A Call for Clarity in Reporting BLEU Scores , 2018, WMT.
[33] Christopher D. Manning,et al. Effective Approaches to Attention-based Neural Machine Translation , 2015, EMNLP.
[34] Christof Monz,et al. What does Attention in Neural Machine Translation Pay Attention to? , 2017, IJCNLP.