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Marc'Aurelio Ranzato | Myle Ott | David Grangier | Michael Auli | Myle Ott | Marc'Aurelio Ranzato | David Grangier | Michael Auli | M. Ranzato
[1] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.
[2] Chin-Yew Lin,et al. ORANGE: a Method for Evaluating Automatic Evaluation Metrics for Machine Translation , 2004, COLING.
[3] Phil Blunsom,et al. A Discriminative Latent Variable Model for Statistical Machine Translation , 2008, ACL.
[4] Shi Yong-hao,et al. The Translator's Invisibility , 1995 .
[5] Daniel Jurafsky,et al. Measuring machine translation quality as semantic equivalence: A metric based on entailment features , 2009, Machine Translation.
[6] Daniel Marcu,et al. HyTER: Meaning-Equivalent Semantics for Translation Evaluation , 2012, NAACL.
[7] Philipp Koehn,et al. Dirt Cheap Web-Scale Parallel Text from the Common Crawl , 2013, ACL.
[8] Geoffrey E. Hinton,et al. On the importance of initialization and momentum in deep learning , 2013, ICML.
[9] Gregory Shakhnarovich,et al. A Systematic Exploration of Diversity in Machine Translation , 2013, EMNLP.
[10] François Yvon,et al. Lattice BLEU oracles in machine translation , 2013, TSLP.
[11] Brendan T. O'Connor,et al. Posterior calibration and exploratory analysis for natural language processing models , 2015, EMNLP.
[12] Kevin Knight. How Much Information Does a Human Translator Add to the Original? , 2015, EMNLP.
[13] Jianfeng Gao,et al. deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets , 2015, ACL.
[14] Christopher D. Manning,et al. Effective Approaches to Attention-based Neural Machine Translation , 2015, EMNLP.
[15] Percy Liang,et al. Calibrated Structured Prediction , 2015, NIPS.
[16] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[17] Rico Sennrich,et al. Neural Machine Translation of Rare Words with Subword Units , 2015, ACL.
[18] Daniel Jurafsky,et al. Mutual Information and Diverse Decoding Improve Neural Machine Translation , 2016, ArXiv.
[19] Marc'Aurelio Ranzato,et al. Sequence Level Training with Recurrent Neural Networks , 2015, ICLR.
[20] Min Zhang,et al. Variational Neural Machine Translation , 2016, EMNLP.
[21] Arianna Bisazza,et al. Neural versus Phrase-Based Machine Translation Quality: a Case Study , 2016, EMNLP.
[22] Ashwin K. Vijayakumar,et al. Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models , 2016, ArXiv.
[23] Kyunghyun Cho,et al. Noisy Parallel Approximate Decoding for Conditional Recurrent Language Model , 2016, ArXiv.
[24] Pierre Isabelle,et al. A Challenge Set Approach to Evaluating Machine Translation , 2017, EMNLP.
[25] Philipp Koehn,et al. Six Challenges for Neural Machine Translation , 2017, NMT@ACL.
[26] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[27] Yann Dauphin,et al. Convolutional Sequence to Sequence Learning , 2017, ICML.
[28] Antonio Toral,et al. A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions , 2017, EACL.
[29] Jan Niehues,et al. Analyzing Neural MT Search and Model Performance , 2017, NMT@ACL.
[30] Kilian Q. Weinberger,et al. On Calibration of Modern Neural Networks , 2017, ICML.
[31] Marc'Aurelio Ranzato,et al. Classical Structured Prediction Losses for Sequence to Sequence Learning , 2017, NAACL.