🌐 Machine translation492 papers · page 11 of 20 · newest first · all shelvesInterlingua and transfer, rule-based and statistical MT, tree-to-tree, style transfer and how translation is measured.← prev 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 next →Does String-Based Neural MT Learn Source Syntax?Xing Shi, Inkit Padhi, Kevin Knight2016DTED: Evaluation of Machine Translation Structure Using Dependency Parsing and Tree Edit DistanceMartin McCaffery, Mark-Jan Nederhof2016Edinburgh Neural Machine Translation Systems for WMT 16Rico Sennrich, Barry Haddow, Alexandra Birch2016Enhancing PTB Universal Dependencies for Grammar-Based Surface RealizationDavid L. King, Michael White2016Evaluating Inter-Annotator Agreement on Historical Spelling NormalizationMarcel Bollmann, Stefanie Dipper, Florian Petran2016Findings of the 2016 Conference on Machine TranslationOndřej Bojar, Rajen Chatterjee, Christian Federmann, et al.2016Generating English from Abstract Meaning RepresentationsNima Pourdamghani, Kevin Knight, Ulf Hermjakob2016Generation from Abstract Meaning Representation using Tree TransducersJeffrey Flanigan, Chris Dyer, Noah A. Smith, et al.2016HUME: Human UCCA-Based Evaluation of Machine TranslationAlexandra Birch, Omri Abend, Ondřej Bojar, et al.2016Improving historical spelling normalization with bi-directional LSTMs and multi-task learningMarcel Bollmann, Anders Søgaard2016International translation in the Grammatical Framework (GF)Aarne Ranta, Kasimir Angelov, Thomas Hallgren, et al.2016Linguistic Input Features Improve Neural Machine TranslationRico Sennrich, Barry Haddow2016Merged bilingual trees based on Universal Dependencies in Machine TranslationDavid Mareček2016Optimizing Statistical Machine Translation for Text SimplificationWei Xu, Courtney Napoles, Ellie Pavlick, et al.2016Results of the WMT16 Metrics Shared TaskOndřej Bojar, Yvette Graham, Amir Kamran, et al.2016Squib: Expressive Power of Abstract Meaning RepresentationsJohan Bos2016Toward Multilingual Neural Machine Translation with Universal Encoder and DecoderThanh-Le Ha, Jan Niehues, Alex Waibel2016Unsupervised Sentence Simplification Using Deep SemanticsShashi Narayan, Claire Gardent2016Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary AnalyzersChuan Wang, Nianwen Xue, Sameer Pradhan2015chrF: character n-gram F-score for automatic MT evaluationMaja Popović2015Enhancing function word translation with syntax-based statistical post-editingJohn Richardson, Toshiaki Nakazawa, Sadao Kurohashi2015Findings of the 2015 Workshop on Statistical Machine TranslationOndřej Bojar, Rajen Chatterjee, Christian Federmann, et al.2015From Paraphrase Database to Compositional Paraphrase Model and BackJohn Wieting, Mohit Bansal, Kevin Gimpel, et al.2015Optimality Grammars of Ancient Translations: Descriptive Translation Studies, Optimality Theory, and Targum Jonathan 2 Sam 11:1Jeremy M. Hutton2015Parsing English into Abstract Meaning Representation Using Syntax-Based Machine TranslationMichael Pust, Ulf Hermjakob, Kevin Knight, et al.2015← prev 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 next →