--- title: "Machine translation — papers, page 24" description: "Machine translation: 926 papers of the Elamur Research library · page 24 of 38 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/machine-translation/page/24/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/machine-translation/page/24/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Machine translation](https://md.research.elamur.ai/free/en/shelves/machine-translation/) / page 24 # 🌐 Machine translation 926 papers · page 24 of 38 · newest first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Interlingua and transfer, rule-based and statistical MT, tree-to-tree, style transfer and how translation is measured. [← prev](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/23/) [1](https://md.research.elamur.ai/free/en/shelves/machine-translation/) … [23](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/23/) **24** [25](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/25/) … [38](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/38/) [next →](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/25/) - [Edinburgh Neural Machine Translation Systems for WMT 16](https://md.research.elamur.ai/free/en/papers/sennrich-2016-edinburgh-neural-machine-translation-systems/) — Rico Sennrich, Barry Haddow, Alexandra Birch · 2016 - [Enhancing PTB Universal Dependencies for Grammar-Based Surface Realization](https://md.research.elamur.ai/free/en/papers/king-2016-enhancing-ptb-universal-dependencies-grammar/) — David L. King, Michael White · 2016 - [Evaluating Inter-Annotator Agreement on Historical Spelling Normalization](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-bollmann-evaluating-inter-annotator-agreement-historical/) — Marcel Bollmann, Stefanie Dipper, Florian Petran · 2016 - [Findings of the 2016 Conference on Machine Translation](https://md.research.elamur.ai/free/en/papers/bojar-2016-findings-2016-conference-machine-translation/) — Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al. · 2016 - [Generating English from Abstract Meaning Representations](https://md.research.elamur.ai/free/en/papers/pourdamghani-2016-generating-english-abstract-meaning-representations/) — Nima Pourdamghani, Kevin Knight, Ulf Hermjakob · 2016 - [Generation from Abstract Meaning Representation using Tree Transducers](https://md.research.elamur.ai/free/en/papers/flanigan-2016-generation-abstract-meaning-representation-tree/) — Jeffrey Flanigan, Chris Dyer, Noah A. Smith, et al. · 2016 - [HUME: Human UCCA-Based Evaluation of Machine Translation](https://md.research.elamur.ai/free/en/papers/birch-2016-hume-human-ucca-based-evaluation/) — Alexandra Birch, Omri Abend, Ondřej Bojar, et al. · 2016 - [Improving historical spelling normalization with bi-directional LSTMs and multi-task learning](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-bollmann-improving-historical-spelling-normalization-bi/) — Marcel Bollmann, Anders Søgaard · 2016 - [International translation in the Grammatical Framework (GF)](https://md.research.elamur.ai/free/en/papers/ranta-2016-international-translation-grammatical-framework-gf/) — Aarne Ranta, Kasimir Angelov, Thomas Hallgren, et al. · 2016 - [Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions](https://md.research.elamur.ai/free/en/papers/dowmunt-2016-is-neural-machine-translation-ready/) — Marcin Junczys-Dowmunt, Tomasz Dwojak, Hieu Hoang · 2016 - [Linguistic Input Features Improve Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/sennrich-2016-linguistic-input-features-improve-neural/) — Rico Sennrich, Barry Haddow · 2016 - [Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing](https://md.research.elamur.ai/free/en/papers/dowmunt-2016-log-linear-combinations-monolingual-bilingual/) — Marcin Junczys-Dowmunt, Roman Grundkiewicz · 2016 - [Merged bilingual trees based on Universal Dependencies in Machine Translation](https://md.research.elamur.ai/free/en/papers/marecek-2016-merged-bilingual-trees-based-universal/) — David Mareček · 2016 - [Neural Network Translation Models for Grammatical Error Correction](https://md.research.elamur.ai/free/en/papers/chollampatt-2016-neural-network-translation-models-grammatical/) — Shamil Chollampatt, Kaveh Taghipour, Hwee Tou Ng · 2016 - [Neural Paraphrase Generation with Stacked Residual LSTM Networks](https://md.research.elamur.ai/free/en/papers/prakash-2016-neural-paraphrase-generation-stacked-residual/) — Aaditya Prakash, Sadid A. Hasan, Kathy Lee, et al. · 2016 - [Neural versus Phrase-Based Machine Translation Quality: a Case Study](https://md.research.elamur.ai/free/en/papers/bentivogli-2016-neural-versus-phrase-based-machine/) — Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo, et al. · 2016 - [Optimizing Statistical Machine Translation for Text Simplification](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/) — Wei Xu, Courtney Napoles, Ellie Pavlick, et al. · 2016 - [Results of the WMT16 Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/bojar-2016-results-wmt16-metrics-shared-task/) — Ondřej Bojar, Yvette Graham, Amir Kamran, et al. · 2016 - [Squib: Expressive Power of Abstract Meaning Representations](https://md.research.elamur.ai/free/en/papers/bos-2016-squib-expressive-power-abstract-meaning/) — Johan Bos · 2016 - [The United Nations Parallel Corpus v1.0](https://md.research.elamur.ai/free/en/papers/ziemski-2016-united-nations-parallel-corpus-v1/) — Michał Ziemski, Marcin Junczys-Dowmunt, Bruno Pouliquen · 2016 - [Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder](https://md.research.elamur.ai/free/en/papers/ha-2016-multilingual-neural-machine-translation-universal/) — Thanh-Le Ha, Jan Niehues, Alex Waibel · 2016 - [Unsupervised Sentence Simplification Using Deep Semantics](https://md.research.elamur.ai/free/en/papers/narayan-2016-unsupervised-sentence-simplification-deep-semantics/) — Shashi Narayan, Claire Gardent · 2016 - [Accurate Evaluation of Segment-level Machine Translation Metrics](https://md.research.elamur.ai/free/en/papers/graham-2015-accurate-evaluation-segment-level-machine/) — Yvette Graham, Timothy Baldwin, Nitika Mathur · 2015 - [Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers](https://md.research.elamur.ai/free/en/papers/wang-2015-boosting-transition-based-amr-parsing/) — Chuan Wang, Nianwen Xue, Sameer Pradhan · 2015 - [chrF: character n-gram F-score for automatic MT evaluation](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/) — Maja Popović · 2015 [← prev](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/23/) [1](https://md.research.elamur.ai/free/en/shelves/machine-translation/) … [23](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/23/) **24** [25](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/25/) … [38](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/38/) [next →](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/25/)