Conference on Machine Translation: Research Papers 2016 — accepted papers
Conference on Machine Translation: Research Papers 2016 is the 2016 edition of the Conference on Machine Translation: Research Papers, held in Berlin, Germany, August 2016 (publisher: Association for Computational Linguistics). OpenAlex lists 13 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
📍 Berlin, Germany · 🗓 August 2016
Most cited papers
- Linguistic Input Features Improve Neural Machine TranslationRico Sennrich, Barry Haddow · Volume 1, Research Papers68 citations · our summary
- Alignment-Based Neural Machine Translation ↗Tamer Alkhouli, Gabriel Bretschner, Jan-Thorsten Peter et al. · Volume 1, Research Papers41 citations
- Neural Network-based Word Alignment through Score Aggregation ↗Joël Legrand, Michael Auli, Ronan Collobert · Volume 1, Research Papers33 citations
- Improving Pronoun Translation by Modeling Coreference Uncertainty ↗Ngoc Quang Luong, Andrei Popescu-Belis · Volume 1, Research Papers13 citations
- Using Factored Word Representation in Neural Network Language Models ↗Jan Niehues, Thanh-Le Ha, Eunah Cho et al. · Volume 1, Research Papers13 citations
- Modeling verbal inflection for English to German SMT ↗Anita Ramm, Alexander Fraser · Volume 1, Research Papers7 citations
- Examining the Relationship between Preordering and Word Order Freedom in Machine Translation ↗Joachim Daiber, Miloš Stanojević, Wilker Aziz et al. · Volume 1, Research Papers5 citations
- Cross-language Projection of Dependency Trees with Constrained Partial Parsing for Tree-to-Tree Machine Translation ↗Yu Shen, Chenhui Chu, Fabien Cromieres et al. · Volume 1, Research Papers3 citations
- Modeling Selectional Preferences of Verbs and Nouns in String-to-Tree Machine Translation ↗Maria Nădejde, Alexandra Birch, Philipp Koehn · Volume 1, Research Papers3 citations
- Fast and highly parallelizable phrase table for statistical machine translation ↗Nikolay Bogoychev, Hieu Hoang · Volume 1, Research Papers2 citations
All accepted papers (13)
- Linguistic Input Features Improve Neural Machine TranslationRico Sennrich, Barry Haddow · Volume 1, Research Papers68 citations · our summary
- Alignment-Based Neural Machine Translation ↗Tamer Alkhouli, Gabriel Bretschner, Jan-Thorsten Peter et al. · Volume 1, Research Papers41 citations
- Neural Network-based Word Alignment through Score Aggregation ↗Joël Legrand, Michael Auli, Ronan Collobert · Volume 1, Research Papers33 citations
- Improving Pronoun Translation by Modeling Coreference Uncertainty ↗Ngoc Quang Luong, Andrei Popescu-Belis · Volume 1, Research Papers13 citations
- Using Factored Word Representation in Neural Network Language Models ↗Jan Niehues, Thanh-Le Ha, Eunah Cho et al. · Volume 1, Research Papers13 citations
- Modeling verbal inflection for English to German SMT ↗Anita Ramm, Alexander Fraser · Volume 1, Research Papers7 citations
- Examining the Relationship between Preordering and Word Order Freedom in Machine Translation ↗Joachim Daiber, Miloš Stanojević, Wilker Aziz et al. · Volume 1, Research Papers5 citations
- Cross-language Projection of Dependency Trees with Constrained Partial Parsing for Tree-to-Tree Machine Translation ↗Yu Shen, Chenhui Chu, Fabien Cromieres et al. · Volume 1, Research Papers3 citations
- Modeling Selectional Preferences of Verbs and Nouns in String-to-Tree Machine Translation ↗Maria Nădejde, Alexandra Birch, Philipp Koehn · Volume 1, Research Papers3 citations
- Fast and highly parallelizable phrase table for statistical machine translation ↗Nikolay Bogoychev, Hieu Hoang · Volume 1, Research Papers2 citations
- Modeling Complement Types in Phrase-Based SMT ↗Marion Weller-Di Marco, Alexander Fraser, Sabine Schulte im Walde · Volume 1, Research Papers2 citations
- A Comparative Study on Vocabulary Reduction for Phrase Table Smoothing ↗Yunsu Kim, Andreas Guta, Joern Wuebker et al. · Volume 1, Research Papers1 citation
- A Framework for Discriminative Rule Selection in Hierarchical Moses ↗Fabienne Braune, Alexander Fraser, Hal Daumé III et al. · Volume 1, Research Papers1 citation
Papers with our summary in our library (1)
- Linguistic Input Features Improve Neural Machine TranslationConference on Machine Translation: Research PapersRico Sennrich, Barry Haddow2016 · 231 citations
Top topics
Fields
Arts and Humanities (1)Computer Science (1)
Top authors
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