Recurrent Continuous Translation Models

Keywords

Perplexity, Computer science, Sentence, Translation (biology), Natural language processing

References

• Recurrent neural network based language modelTomáš Mikolov, Martin Karafiát, Lukáš Burget — 2010
• Generating Text with Recurrent Neural NetworksIlya Sutskever, James Martens, Geoffrey E. Hinton — 2011
• Recurrent Convolutional Neural Networks for Discourse CompositionalityNal Kalchbrenner, Phil Blunsom — 2013
• Semantic Compositionality through Recursive Matrix-Vector SpacesRichard Socher, Brody Huval, Christopher D. Manning — 2012
• Context dependent recurrent neural network language modelTomáš Mikolov, Geoffrey Zweig — 2012
• The Mathematics of Statistical Machine Translation: Parameter EstimationPeter F. Brown, Vincent J. Della Pietra, Stephen A. Della Pietra — 1993
• Continuous Space Language Models for Statistical Machine TranslationHolger Schwenk, Daniel Dchelotte, Jean‐Luc Gauvain — 2006
• Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase DetectionRichard Socher, Eric Huang, Jeffrey Pennin — 2011
• A unified architecture for natural language processing: deep neural networks with multitask learningRonan Collobert, Jason Weston — 2008
• The Role of Syntax in Vector Space Models of Compositional SemanticsKarl Moritz Hermann, Phil Blunsom — 2013
• A Simple, Fast, and Effective Reparameterization of IBM Model 2Chris Dyer, Victor Chahuneau, Noah A. Smith — 2013
• cdec: A Decoder, Alignment, and Learning Framework for Finite- State and Context-Free Translation ModelsChris Dyer, Adam Lopez, Juri Ganitkevitch — 2010
• Extensions of recurrent neural network language modelTomáš Mikolov, Stefan Kombrink, Lukáš Burget — 2011
• Continuous Space Translation Models with Neural NetworksHai-Son Le, Alexandre Allauzen, François Yvon — 2012
• Continuous Space Translation Models for Phrase-Based Statistical Machine TranslationHolger Schwenk — 2012
• Concrete Sentence Spaces for Compositional Distributional Models of MeaningEdward Grefenstette, Mehrnoosh Sadrzadeh, Stephen Clark — 2010
• Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationDuchiJohn, HazanElad, SingerYoram — 2011
• A Neural Probabilistic Language ModelBengioYoshua, DucharmeRéjean, VincentPascal — 2003
• Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationJohn C. Duchi, Elad Hazan, Yoram Singer — 2010
• Recurrent Convolutional Neural Networks for Discourse CompositionalityNal Kalchbrenner, Phil Blunsom — 2013

Cited by

• Discourse in Statistical Machine TranslationChristian Hardmeier — 2012
• The Geometry of Statistical Machine TranslationAurelien Waite, Bill Byrne — 2015
• Retrieval Term Prediction Using Deep Belief NetworksQing Ma, Ibuki Tanigawa, Masaki Murata — 2014
• Are You Talking to a Machine? Dataset and Methods for Multilingual Image QuestionHaoyuan Gao, Junhua Mao, Jie Zhou — 2015
• Show, Attend and Tell: Neural Image Caption Generation with Visual AttentionKelvin Xu, Jimmy Ba, Ryan Kiros — 2015
• A Neural Network Approach to Context-Sensitive Generation of Conversational ResponsesAlessandro Sordoni, Michel Galley, Michael Auli — 2015
• Unifying Visual-Semantic Embeddings with Multimodal Neural Language ModelsRyan Kiros, Ruslan Salakhutdinov, Richard S. Zemel — 2014
• Local Translation Prediction with Global Sentence RepresentationJiajun Zhang — 2015
• Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading BooksYukun Zhu, Ryan Kiros, Rich Zemel — 2015
• A Neural Conversational ModelOriol Vinyals, Quoc V. Le — 2015
• Recurrent Neural Network RegularizationWojciech Zaremba, Ilya Sutskever, Oriol Vinyals — 2014
• A Deep Memory-based Architecture for Sequence-to-Sequence LearningFandong Meng, Zhengdong Lu, Zhaopeng Tu — 2015
• Online Representation Learning in Recurrent Neural Language ModelsMarek Rei — 2015
• When Are Tree Structures Necessary for Deep Learning of Representations?Jiwei Li, Thang Luong, Dan Jurafsky — 2015
• Neural Machine Translation of Rare Words with Subword UnitsRico Sennrich, Barry Haddow, Alexandra Birch — 2015
• A Neural Attention Model for Abstractive Sentence SummarizationAlexander M. Rush, Sumit Chopra, Jason Weston — 2015
• Document-Level Machine Translation with Word Vector ModelsEva Martínez García, Cristina España-Bonet, Lluı́s Màrquez — 2015
• Molding CNNs for text: non-linear, non-consecutive convolutionsTao Leí, Regina Barzilay, Tommi Jaakkola — 2015
• Finding Function in Form: Compositional Character Models for Open Vocabulary Word RepresentationLing Wang, Chris Dyer, Alan W. Black — 2015
• Effective Approaches to Attention-based Neural Machine TranslationThang Luong, Hieu Pham, Christopher D. Manning — 2015

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