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Front matter |
pages |
Research Papers |
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Cross-language Projection of Dependency Trees with Constrained Partial Parsing for Tree-to-Tree Machine Translation Yu Shen, Chenhui Chu, Fabien Cromieres and Sadao Kurohashi |
pp. 1–11 |
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Improving Pronoun Translation by Modeling Coreference Uncertainty Ngoc Quang Luong and Andrei Popescu-Belis |
pp. 12–20 |
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Modeling verbal inflection for English to German SMT Anita Ramm and Alexander Fraser |
pp. 21–31 |
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Modeling Selectional Preferences of Verbs and Nouns in String-to-Tree Machine Translation Maria Nadejde, Alexandra Birch and Philipp Koehn |
pp. 32–42 |
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Modeling Complement Types in Phrase-Based SMT Marion Weller-Di Marco, Alexander Fraser and Sabine Schulte im Walde |
pp. 43–53 |
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Alignment-Based Neural Machine Translation Tamer Alkhouli, Gabriel Bretschner, Jan-Thorsten Peter, Mohammed Hethnawi, Andreas Guta and Hermann Ney |
pp. 54–65 |
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Neural Network-based Word Alignment through Score Aggregation Joël Legrand, Michael Auli and Ronan Collobert |
pp. 66–73 |
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Using Factored Word Representation in Neural Network Language Models Jan Niehues, Thanh-Le Ha, Eunah Cho and Alex Waibel |
pp. 74–82 |
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Linguistic Input Features Improve Neural Machine Translation Rico Sennrich and Barry Haddow |
pp. 83–91 |
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A Framework for Discriminative Rule Selection in Hierarchical Moses Fabienne Braune, Alexander Fraser, Hal Daumé III and Aleš Tamchyna |
pp. 92–101 |
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Fast and highly parallelizable phrase table for statistical machine translation Nikolay Bogoychev and Hieu Hoang |
pp. 102–109 |
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A Comparative Study on Vocabulary Reduction for Phrase Table Smoothing Yunsu Kim, Andreas Guta, Joern Wuebker and Hermann Ney |
pp. 110–117 |
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Examining the Relationship between Preordering and Word Order Freedom in Machine Translation Joachim Daiber, Miloš Stanojević, Wilker Aziz and Khalil Sima’an |
pp. 118–130 |
Shared Task Papers |
Overview |
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Findings of the 2016 Conference on Machine Translation Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Aurelie Neveol, Mariana Neves, Martin Popel, Matt Post, Raphael Rubino, Carolina Scarton, Lucia Specia, Marco Turchi, Karin Verspoor and Marcos Zampieri |
pp. 131–198 |
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Results of the WMT16 Metrics Shared Task Ondřej Bojar, Yvette Graham, Amir Kamran and Miloš Stanojević |
pp. 199–231 |
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Results of the WMT16 Tuning Shared Task Bushra Jawaid, Amir Kamran, Miloš Stanojević and Ondřej Bojar |
pp. 232–238 |
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Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction Liane Guillou, Christian Hardmeier, Preslav Nakov, Sara Stymne, Jörg Tiedemann, Yannick Versley, Mauro Cettolo, Bonnie Webber and Andrei Popescu-Belis |
pp. 525–542 |
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A Shared Task on Multimodal Machine Translation and Crosslingual Image Description Lucia Specia, Stella Frank, Khalil Sima’an and Desmond Elliott |
pp. 543–553 |
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Findings of the WMT 2016 Bilingual Document Alignment Shared Task Christian Buck and Philipp Koehn |
pp. 554–563 |
News Translation |
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LIMSI@WMT'16: Machine Translation of News Alexandre Allauzen, Lauriane Aufrant, Franck Burlot, Ophélie Lacroix, Elena Knyazeva, Thomas Lavergne, Guillaume Wisniewski and François Yvon |
pp. 239–245 |
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TÜBİTAK SMT System Submission for WMT2016 Emre Bektaş, Ertugrul Yilmaz, Coskun Mermer and İlknur Durgar El-Kahlout |
pp. 246–251 |
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ParFDA for Instance Selection for Statistical Machine Translation Ergun Bicici |
pp. 252–258 |
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Sheffield Systems for the English-Romanian WMT Translation Task Frédéric Blain, Xingyi Song and Lucia Specia |
pp. 259–263 |
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MetaMind Neural Machine Translation System for WMT 2016 James Bradbury and Richard Socher |
pp. 264–267 |
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NYU-MILA Neural Machine Translation Systems for WMT'16 Junyoung Chung, Kyunghyun Cho and Yoshua Bengio |
pp. 268–271 |
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The JHU Machine Translation Systems for WMT 2016 Shuoyang Ding, Kevin Duh, Huda Khayrallah, Philipp Koehn and Matt Post |
pp. 272–280 |
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Yandex School of Data Analysis approach to English-Turkish translation at WMT16 News Translation Task Anton Dvorkovich, Sergey Gubanov and Irina Galinskaya |
pp. 281–288 |
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Hybrid Morphological Segmentation for Phrase-Based Machine Translation Stig-Arne Grönroos, Sami Virpioja and Mikko Kurimo |
pp. 289–295 |
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The AFRL-MITLL WMT16 News-Translation Task Systems Jeremy Gwinnup, Tim Anderson, Grant Erdmann, Katherine Young, Michaeel Kazi, Elizabeth Salesky and Brian Thompson |
pp. 296–302 |
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The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2016 Thanh-Le Ha, Eunah Cho, Jan Niehues, Mohammed Mediani, Matthias Sperber, Alexandre Allauzen and Alexander Waibel |
pp. 303–310 |
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The Edinburgh/LMU Hierarchical Machine Translation System for WMT 2016 Matthias Huck, Alexander Fraser and Barry Haddow |
pp. 311–318 |
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The AMU-UEDIN Submission to the WMT16 News Translation Task: Attention-based NMT Models as Feature Functions in Phrase-based SMT Marcin Junczys-Dowmunt, Tomasz Dwojak and Rico Sennrich |
pp. 319–325 |
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NRC Russian-English Machine Translation System for WMT 2016 Chi-kiu Lo, Colin Cherry, George Foster, Darlene Stewart, Rabib Islam, Anna Kazantseva and Roland Kuhn |
pp. 326–332 |
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Merged bilingual trees based on Universal Dependencies in Machine Translation David Mareček |
pp. 333–338 |
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PROMT Translation Systems for WMT 2016 Translation Tasks Alexander Molchanov and Fedor Bykov |
pp. 339–343 |
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The QT21/HimL Combined Machine Translation System Jan-Thorsten Peter, Tamer Alkhouli, Hermann Ney, Matthias Huck, Fabienne Braune, Alexander Fraser, Aleš Tamchyna, Ondřej Bojar, Barry Haddow, Rico Sennrich, Frédéric Blain, Lucia Specia, Jan Niehues, Alex Waibel, Alexandre Allauzen, Lauriane Aufrant, Franck Burlot, elena knyazeva, Thomas Lavergne, François Yvon, Mārcis Pinnis and Stella Frank |
pp. 344–355 |
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The RWTH Aachen University English-Romanian Machine Translation System for WMT 2016 Jan-Thorsten Peter, Tamer Alkhouli, Andreas Guta and Hermann Ney |
pp. 356–361 |
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Abu-MaTran at WMT 2016 Translation Task: Deep Learning, Morphological Segmentation and Tuning on Character Sequences Víctor M. Sánchez-Cartagena and Antonio Toral |
pp. 362–370 |
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Edinburgh Neural Machine Translation Systems for WMT 16 Rico Sennrich, Barry Haddow and Alexandra Birch |
pp. 371–376 |
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The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16 Felix Stahlberg, Eva Hasler and Bill Byrne |
pp. 377–384 |
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CUNI-LMU Submissions in WMT2016: Chimera Constrained and Beaten Aleš Tamchyna, Roman Sudarikov, Ondřej Bojar and Alexander Fraser |
pp. 385–390 |
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Phrase-Based SMT for Finnish with More Data, Better Models and Alternative Alignment and Translation Tools Jörg Tiedemann, Fabienne Cap, Jenna Kanerva, Filip Ginter, Sara Stymne, Robert Östling and Marion Weller-Di Marco |
pp. 391–398 |
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Edinburgh’s Statistical Machine Translation Systems for WMT16 Philip Williams, Rico Sennrich, Maria Nadejde, Matthias Huck, Barry Haddow and Ondřej Bojar |
pp. 399–410 |
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PJAIT Systems for the WMT 2016 Krzysztof Wolk and Krzysztof Marasek |
pp. 411–414 |
IT Translation |
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DFKI’s system for WMT16 IT-domain task, including analysis of systematic errors Eleftherios Avramidis, Aljoscha Burchardt, Vivien Macketanz and Ankit Srivastava |
pp. 415–422 |
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ILLC-UvA Adaptation System (Scorpio) at WMT’16 IT-DOMAIN Task Hoang Cuong, Stella Frank and Khalil Sima’an |
pp. 423–427 |
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Data Selection for IT Texts using Paragraph Vector Mirela-Stefania Duma and Wolfgang Menzel |
pp. 428–434 |
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SMT and Hybrid systems of the QTLeap project in the WMT16 IT-task Rosa Gaudio, Gorka Labaka, Eneko Agirre, Petya Osenova, Kiril Simov, Martin Popel, Dieke Oele, Gertjan van Noord, Luís Gomes, João António Rodrigues, Steven Neale, João Silva, Andreia Querido, Nuno Rendeiro and António Branco |
pp. 435–441 |
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JU-USAAR: A Domain Adaptive MT System Koushik Pahari, Alapan Kuila, Santanu Pal, Sudip Kumar Naskar, Sivaji Bandyopadhyay and Josef van Genabith |
pp. 442–448 |
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Dictionary-based Domain Adaptation of MT Systems without Retraining Rudolf Rosa, Roman Sudarikov, Michal Novák, Martin Popel and Ondřej Bojar |
pp. 449–455 |
Biomedical Translation |
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English-Portuguese Biomedical Translation Task Using a Genuine Phrase-Based Statistical Machine Translation Approach José Aires, Gabriel Lopes and Luís Gomes |
pp. 456–462 |
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The TALP–UPC Spanish–English WMT Biomedical Task: Bilingual Embeddings and Char-based Neural Language Model Rescoring in a Phrase-based System Marta R. Costa-jussà, Cristina España-Bonet, Pranava Madhyastha, Carlos Escolano and José A. R. Fonollosa |
pp. 463–468 |
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LIMSI’s Contribution to the WMT’16 Biomedical Translation Task Julia Ive, Aurélien Max and François Yvon |
pp. 469–476 |
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IXA Biomedical Translation System at WMT16 Biomedical Translation Task Olatz Perez-de-Viñaspre and Gorka Labaka |
pp. 477–482 |
Metrics |
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CobaltF: A Fluent Metric for MT Evaluation Marina Fomicheva, Núria Bel, Lucia Specia, Iria da Cunha and Anton Malinovskiy |
pp. 483–490 |
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DTED: Evaluation of Machine Translation Structure Using Dependency Parsing and Tree Edit Distance Martin McCaffery and Mark-Jan Nederhof |
pp. 491–498 |
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chrF deconstructed: beta parameters and n-gram weights Maja Popović |
pp. 499–504 |
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CharacTer: Translation Edit Rate on Character Level Weiyue Wang, Jan-Thorsten Peter, Hendrik Rosendahl and Hermann Ney |
pp. 505–510 |
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Extract Domain-specific Paraphrase from Monolingual Corpus for Automatic Evaluation of Machine Translation Lilin Zhang, Zhen Weng, Wenyan Xiao, Jianyi Wan, Zhiming Chen, Yiming Tan, Maoxi Li and Mingwen Wang |
pp. 511–517 |
Tuning |
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Particle Swarm Optimization Submission for WMT16 Tuning Task Viktor Kocur and Ondřej Bojar |
pp. 518–524 |
Pronoun Prediction |
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Cross-lingual Pronoun Prediction with Linguistically Informed Features Rachel Bawden |
pp. 564–570 |
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The Kyoto University Cross-Lingual Pronoun Translation System Raj Dabre, Yevgeniy Puzikov, Fabien Cromieres and Sadao Kurohashi |
pp. 571–575 |
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Pronoun Prediction with Latent Anaphora Resolution Christian Hardmeier |
pp. 576–580 |
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It-disambiguation and source-aware language models for cross-lingual pronoun prediction Sharid Loáiciga, Liane Guillou and Christian Hardmeier |
pp. 581–588 |
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Pronoun Language Model and Grammatical Heuristics for Aiding Pronoun Prediction Ngoc Quang Luong and Andrei Popescu-Belis |
pp. 589–595 |
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Cross-Lingual Pronoun Prediction with Deep Recurrent Neural Networks Juhani Luotolahti, Jenna Kanerva and Filip Ginter |
pp. 596–601 |
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Pronoun Prediction with Linguistic Features and Example Weighing Michal Novák |
pp. 602–608 |
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Feature Exploration for Cross-Lingual Pronoun Prediction Sara Stymne |
pp. 609–615 |
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A Linear Baseline Classifier for Cross-Lingual Pronoun Prediction Jörg Tiedemann |
pp. 616–619 |
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Cross-lingual Pronoun Prediction for English, French and German with Maximum Entropy Classification Dominikus Wetzel |
pp. 620–626 |
Multimodal Translation |
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Does Multimodality Help Human and Machine for Translation and Image Captioning? Ozan Caglayan, Walid Aransa, Yaxing Wang, Marc Masana, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault and Joost van de Weijer |
pp. 627–633 |
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DCU-UvA Multimodal MT System Report Iacer Calixto, Desmond Elliott and Stella Frank |
pp. 634–638 |
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Attention-based Multimodal Neural Machine Translation Po-Yao Huang, Frederick Liu, Sz-Rung Shiang, Jean Oh and Chris Dyer |
pp. 639–645 |
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CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation Tasks Jindřich Libovický, Jindřich Helcl, Marek Tlustý, Ondřej Bojar and Pavel Pecina |
pp. 646–654 |
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WMT 2016 Multimodal Translation System Description based on Bidirectional Recurrent Neural Networks with Double-Embeddings Sergio Rodríguez Guasch and Marta R. Costa-jussà |
pp. 655–659 |
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SHEF-Multimodal: Grounding Machine Translation on Images Kashif Shah, Josiah Wang and Lucia Specia |
pp. 660–665 |
Bilingual Document Alignment |
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DOCAL - Vicomtech’s Participation in the WMT16 Shared Task on Bilingual Document Alignment Andoni Azpeitia and Thierry Etchegoyhen |
pp. 666–671 |
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Quick and Reliable Document Alignment via TF/IDF-weighted Cosine Distance Christian Buck and Philipp Koehn |
pp. 672–678 |
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YODA System for WMT16 Shared Task: Bilingual Document Alignment Aswarth Abhilash Dara and Yiu-Chang Lin |
pp. 679–684 |
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Bitextor’s participation in WMT’16: shared task on document alignment Miquel Esplà-Gomis, Mikel Forcada, Sergio Ortiz Rojas and Jorge Ferrández-Tordera |
pp. 685–691 |
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Bilingual Document Alignment with Latent Semantic Indexing Ulrich Germann |
pp. 692–696 |
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First Steps Towards Coverage-Based Document Alignment Luís Gomes and Gabriel Pereira Lopes |
pp. 697–702 |
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BAD LUC@WMT 2016: a Bilingual Document Alignment Platform Based on Lucene Laurent Jakubina and Phillippe Langlais |
pp. 703–709 |
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Using Term Position Similarity and Language Modeling for Bilingual Document Alignment Thanh Le, Hoa Trong Vu, Jonathan Oberländer and Ondřej Bojar |
pp. 710–716 |
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The ADAPT Bilingual Document Alignment system at WMT16 Pintu Lohar, Haithem Afli, Chao-Hong Liu and Andy Way |
pp. 717–723 |
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WMT2016: A Hybrid Approach to Bilingual Document Alignment Sainik Mahata, Dipankar Das and Santanu Pal |
pp. 724–727 |
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English-French Document Alignment Based on Keywords and Statistical Translation Marek Medved', Miloš Jakubícek and Vojtech Kovár |
pp. 728–732 |
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The ILSP/ARC submission to the WMT 2016 Bilingual Document Alignment Shared Task Vassilis Papavassiliou, Prokopis Prokopidis and Stelios Piperidis |
pp. 733–739 |
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Word Clustering Approach to Bilingual Document Alignment (WMT 2016 Shared Task) Vadim Shchukin, Dmitry Khristich and Irina Galinskaya |
pp. 740–744 |
Automatic Postediting |
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The FBK Participation in the WMT 2016 Automatic Post-editing Shared Task Rajen Chatterjee, José G. C. de Souza, Matteo Negri and Marco Turchi |
pp. 745–750 |
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Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing Marcin Junczys-Dowmunt and Roman Grundkiewicz |
pp. 751–758 |
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USAAR: An Operation Sequential Model for Automatic Statistical Post-Editing Santanu Pal, Marcos Zampieri and Josef van Genabith |
pp. 759–763 |
Quality Estimation |
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Bilingual Embeddings and Word Alignments for Translation Quality Estimation Amal Abdelsalam, Ondřej Bojar and Samhaa El-Beltagy |
pp. 764–771 |
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SHEF-MIME: Word-level Quality Estimation Using Imitation Learning Daniel Beck, Andreas Vlachos, Gustavo Paetzold and Lucia Specia |
pp. 772–776 |
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Referential Translation Machines for Predicting Translation Performance Ergun Bicici |
pp. 777–781 |
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UAlacant word-level and phrase-level machine translation quality estimation systems at WMT 2016 Miquel Esplà-Gomis, Felipe Sánchez-Martínez and Mikel Forcada |
pp. 782–786 |
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Recurrent Neural Network based Translation Quality Estimation Hyun Kim and Jong-Hyeok Lee |
pp. 787–792 |
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YSDA Participation in the WMT’16 Quality Estimation Shared Task Anna Kozlova, Mariya Shmatova and Anton Frolov |
pp. 793–799 |
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USFD's Phrase-level Quality Estimation Systems Varvara Logacheva, Frédéric Blain and Lucia Specia |
pp. 800–805 |
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Unbabel’s Participation in the WMT16 Word-Level Translation Quality Estimation Shared Task André F. T. Martins, Ramón Astudillo, Chris Hokamp and Fabio Kepler |
pp. 806–811 |
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SimpleNets: Quality Estimation with Resource-Light Neural Networks Gustavo Paetzold and Lucia Specia |
pp. 812–818 |
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Translation Quality Estimation using Recurrent Neural Network Raj Nath Patel and Sasikumar M |
pp. 819–824 |
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The UU Submission to the Machine Translation Quality Estimation Task Oscar Sagemo and Sara Stymne |
pp. 825–830 |
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Word embeddings and discourse information for Quality Estimation Carolina Scarton, Daniel Beck, Kashif Shah, Karin Sim Smith and Lucia Specia |
pp. 831–837 |
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SHEF-LIUM-NN: Sentence level Quality Estimation with Neural Network Features Kashif Shah, Fethi Bougares, Loïc Barrault and Lucia Specia |
pp. 838–842 |
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UGENT-LT3 SCATE Submission for WMT16 Shared Task on Quality Estimation Arda Tezcan, Véronique Hoste and Lieve Macken |
pp. 843–850 |
Last modified on July 25, 2016, 7:58 p.m.