Table of Contents

• Sense-Aware Statistical Machine Translation using Adaptive Context-Dependent ClusteringXiao Pu, Nikolaos Pappas, Andrei Popescu-Belis. 1-10 [doi]
• Improving Word Sense Disambiguation in Neural Machine Translation with Sense EmbeddingsAnnette Rios Gonzales, Laura Mascarell, Rico Sennrich. 11-19 [doi]
• Word Representations in Factored Neural Machine TranslationFranck Burlot, Mercedes García-Martínez, Loïc Barrault, Fethi Bougares, François Yvon. 20-31 [doi]
• Modeling Target-Side Inflection in Neural Machine TranslationAles Tamchyna, Marion Weller-Di Marco, Alexander M. Fraser. 32-42 [doi]
• Evaluating the morphological competence of Machine Translation SystemsFranck Burlot, François Yvon. 43-55 [doi]
• Target-side Word Segmentation Strategies for Neural Machine TranslationMatthias Huck, Simon Riess, Alexander M. Fraser. 56-67 [doi]
• Predicting Target Language CCG Supertags Improves Neural Machine TranslationMaria Nadejde, Siva Reddy, Rico Sennrich, Tomasz Dwojak, Marcin Junczys-Dowmunt, Philipp Koehn, Alexandra Birch. 68-79 [doi]
• Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task LearningJan Niehues, Eunah Cho. 80-89 [doi]
• Tree as a Pivot: Syntactic Matching Methods in Pivot TranslationAkiva Miura, Graham Neubig, Katsuhito Sudoh, Satoshi Nakamura 0001. 90-98 [doi]
• Deep architectures for Neural Machine TranslationAntonio Valerio Miceli Barone, Jindrich Helcl, Rico Sennrich, Barry Haddow, Alexandra Birch. 99-107 [doi]
• Biasing Attention-Based Recurrent Neural Networks Using External Alignment InformationTamer Alkhouli, Hermann Ney. 108-117 [doi]
• Effective Domain Mixing for Neural Machine TranslationDenny Britz, Quoc V. Le, Reid Pryzant. 118-126 [doi]
• Multi-Domain Neural Machine Translation through Unsupervised AdaptationM. Amin Farajian, Marco Turchi, Matteo Negri, Marcello Federico. 127-137 [doi]
• Adapting Neural Machine Translation with Parallel Synthetic DataMara Chinea-Rios, Álvaro Peris, Francisco Casacuberta. 138-147 [doi]
• Copied Monolingual Data Improves Low-Resource Neural Machine TranslationAnna Currey, Antonio Valerio Miceli Barone, Kenneth Heafield. 148-156 [doi]
• Guiding Neural Machine Translation Decoding with External KnowledgeRajen Chatterjee, Matteo Negri, Marco Turchi, Marcello Federico, Lucia Specia, Frédéric Blain. 157-168 [doi]
• Findings of the 2017 Conference on Machine Translation (WMT17)Ondrej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Shujian Huang, Matthias Huck, Philipp Koehn, Qun Liu, Varvara Logacheva, Christof Monz, Matteo Negri, Matt Post, Raphael Rubino, Lucia Specia, Marco Turchi. 169-214 [doi]
• Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image DescriptionDesmond Elliott, Stella Frank, Loïc Barrault, Fethi Bougares, Lucia Specia. 215-233 [doi]
• Findings of the WMT 2017 Biomedical Translation Shared TaskAntonio Jimeno-Yepes, Aurélie Névéol, Mariana L. Neves, Karin Verspoor, Ondrej Bojar, Arthur Boyer, Cristian Grozea, Barry Haddow, Madeleine Kittner, Yvonne Lichtblau, Pavel Pecina, Roland Roller, Rudolf Rosa, Amy Siu, Philippe Thomas, Saskia Trescher. 234-247 [doi]
• CUNI submission in WMT17: Chimera goes neuralRoman Sudarikov, David Marecek, Tom Kocmi, Dusan Varis, Ondrej Bojar. 248-256 [doi]
• LIMSI$@$WMT'17Franck Burlot, Pooyan Safari, Matthieu Labeau, Alexandre Allauzen, François Yvon. 257-264 [doi]
• SYSTRAN Purely Neural MT Engines for WMT2017Yongchao Deng, Jungi Kim, Guillaume Klein, Catherine Kobus, Natalia Segal, Christophe Servan, Bo Wang, Dakun Zhang, Josep Maria Crego, Jean Senellart. 265-270 [doi]
• FBK's Participation to the English-to-German News Translation Task of WMT 2017Mattia Antonino Di Gangi, Nicola Bertoldi, Marcello Federico. 271-275 [doi]
• The JHU Machine Translation Systems for WMT 2017Shuoyang Ding, Huda Khayrallah, Philipp Koehn, Matt Post, Gaurav Kumar, Kevin Duh. 276-282 [doi]
• The TALP-UPC Neural Machine Translation System for German/Finnish-English Using the Inverse Direction Model in RescoringCarlos Escolano, Marta R. Costa-Jussà, José A. R. Fonollosa. 283-287 [doi]
• LIUM Machine Translation Systems for WMT17 News Translation TaskMercedes García-Martínez, Ozan Caglayan, Walid Aransa, Adrien Bardet, Fethi Bougares, Loïc Barrault. 288-295 [doi]
• Extending hybrid word-character neural machine translation with multi-task learning of morphological analysisStig-Arne Grönroos, Sami Virpioja, Mikko Kurimo. 296-302 [doi]
• The AFRL-MITLL WMT17 Systems: Old, New, Borrowed, BLEUJeremy Gwinnup, Timothy Anderson, Grant Erdmann, Katherine Young, Michaeel Kazi, Elizabeth Salesky, Brian Thompson, Jonathan Taylor. 303-309 [doi]
• University of Rochester WMT 2017 NMT System SubmissionChester Holtz, Chuyang Ke, Daniel Gildea. 310-314 [doi]
• LMU Munich's Neural Machine Translation Systems for News Articles and Health Information TextsMatthias Huck, Fabienne Braune, Alexander M. Fraser. 315-322 [doi]
• Rule-based Machine translation from English to FinnishArvi Hurskainen, Jörg Tiedemann. 323-329 [doi]
• NRC Machine Translation System for WMT 2017Chi-kiu Lo, Boxing Chen, Colin Cherry, George F. Foster, Samuel Larkin, Darlene A. Stewart, Roland Kuhn. 330-337 [doi]
• The Helsinki Neural Machine Translation SystemRobert Östling, Yves Scherrer, Jörg Tiedemann, Gongbo Tang, Tommi Nieminen. 338-347 [doi]
• The QT21 Combined Machine Translation System for English to LatvianJan-Thorsten Peter, Hermann Ney, Ondrej Bojar, Ngoc-Quan Pham, Jan Niehues, Alex Waibel, Franck Burlot, François Yvon, Marcis Pinnis, Valters Sics, Joost Bastings, Miguel Rios, Wilker Aziz, Philip Williams, Frédéric Blain, Lucia Specia. 348-357 [doi]
• The RWTH Aachen University English-German and German-English Machine Translation System for WMT 2017Jan-Thorsten Peter, Andreas Guta, Tamer Alkhouli, Parnia Bahar, Jan Rosendahl, Nick Rossenbach, Miguel Graça, Hermann Ney. 358-365 [doi]
• The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2017Ngoc-Quan Pham, Jan Niehues, Thanh-Le Ha, Eunah Cho, Matthias Sperber, Alexander H. Waibel. 366-373 [doi]
• Tilde's Machine Translation Systems for WMT 2017Marcis Pinnis, Rihards Krislauks, Toms Miks, Daiga Deksne, Valters Sics. 374-381 [doi]
• C-3MA: Tartu-Riga-Zurich Translation Systems for WMT17Matiss Rikters, Chantal Amrhein, Maksym Del, Mark Fishel. 382-388 [doi]
• The University of Edinburgh's Neural MT Systems for WMT17Rico Sennrich, Alexandra Birch, Anna Currey, Ulrich Germann, Barry Haddow, Kenneth Heafield, Antonio Valerio Miceli Barone, Philip Williams. 389-399 [doi]
• XMU Neural Machine Translation Systems for WMT 17Zhixing Tan, Boli Wang, Jinming Hu, Yidong Chen, Xiaodong Shi. 400-404 [doi]
• The JAIST Machine Translation Systems for WMT 17Hai-Long Trieu, Trung-Tin Pham, Le Minh Nguyen. 405-409 [doi]
• Sogou Neural Machine Translation Systems for WMT17Yuguang Wang, Shanbo Cheng, Liyang Jiang, Jiajun Yang, Wei Chen, Muze Li, Lin Shi, Yanfeng Wang, Hongtao Yang. 410-415 [doi]
• PJIIT's systems for WMT 2017 ConferenceKrzysztof Wolk, Krzysztof Marasek. 416-421 [doi]
• Hunter MT: A Course for Young Researchers in WMT17Jia Xu, Yi Zong Kuang, Shondell Baijoo, Jacob Hyun Lee, Uman Shahzad, Mir Ahmed, Meredith Lancaster, Chris Carlan. 422-427 [doi]
• CASICT-DCU Neural Machine Translation Systems for WMT17Jinchao Zhang, Peerachet Porkaew, Jiawei Hu, Qiuye Zhao, Qun Liu. 428-431 [doi]
• LIUM-CVC Submissions for WMT17 Multimodal Translation TaskOzan Caglayan, Walid Aransa, Adrien Bardet, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Marc Masana, Luis Herranz, Joost van de Weijer. 432-439 [doi]
• DCU System Report on the WMT 2017 Multi-modal Machine Translation TaskIacer Calixto, Koel Dutta Chowdhury, Qun Liu. 440-444 [doi]
• The AFRL-OSU WMT17 Multimodal Translation System: An Image Processing ApproachJohn Duselis, Michael Hutt, Jeremy Gwinnup, James Davis, Joshua Sandvick. 445-449 [doi]
• CUNI System for the WMT17 Multimodal Translation TaskJindrich Helcl, Jindrich Libovický. 450-457 [doi]
• Generating Image Descriptions using Multilingual DataAlan Jaffe. 458-464 [doi]
• OSU Multimodal Machine Translation System ReportMingbo Ma, Dapeng Li, Kai Zhao, Liang Huang 0001. 465-469 [doi]
• Sheffield MultiMT: Using Object Posterior Predictions for Multimodal Machine TranslationPranava Swaroop Madhyastha, Josiah Wang, Lucia Specia. 470-476 [doi]
• NICT-NAIST System for WMT17 Multimodal Translation TaskJingyi Zhang, Masao Utiyama, Eiichiro Sumita, Graham Neubig, Satoshi Nakamura 0001. 477-482 [doi]
• Automatic Threshold Detection for Data Selection in Machine TranslationMirela-Stefania Duma, Wolfgang Menzel. 483-488 [doi]
• Results of the WMT17 Metrics Shared TaskOndrej Bojar, Yvette Graham, Amir Kamran. 489-513 [doi]
• A Shared Task on Bandit Learning for Machine TranslationArtem Sokolov, Julia Kreutzer, Kellen Sunderland, Pavel Danchenko, Witold Szymaniak, Hagen Fürstenau, Stefan Riezler. 514-524 [doi]
• Results of the WMT17 Neural MT Training TaskOndrej Bojar, Jindrich Helcl, Tom Kocmi, Jindrich Libovický, Tomás Musil. 525-533 [doi]
• Sentence-level quality estimation by predicting HTER as a multi-component metricEleftherios Avramidis. 534-539 [doi]
• Predicting Translation Performance with Referential Translation MachinesErgun Biçici. 540-544 [doi]
• Bilexical Embeddings for Quality EstimationFrédéric Blain, Carolina Scarton, Lucia Specia. 545-550 [doi]
• Improving Machine Translation Quality Estimation with Neural Network FeaturesZhiming Chen, Yiming Tan, Chenlin Zhang, Qingyu Xiang, Lilin Zhang, Maoxi Li, Mingwen Wang. 551-555 [doi]
• UHH Submission to the WMT17 Quality Estimation Shared TaskMelania Duma, Wolfgang Menzel. 556-561 [doi]
• Predictor-Estimator using Multilevel Task Learning with Stack Propagation for Neural Quality EstimationHyun Kim, Jong-Hyeok Lee, Seung-Hoon Na. 562-568 [doi]
• Unbabel's Participation in the WMT17 Translation Quality Estimation Shared TaskAndré F. T. Martins, Fabio Kepler, Jose Monteiro. 569-574 [doi]
• Feature-Enriched Character-Level Convolutions for Text RegressionGustavo Paetzold, Lucia Specia. 575-581 [doi]
• UHH Submission to the WMT17 Metrics Shared TaskMelania Duma, Wolfgang Menzel. 582-588 [doi]
• MEANT 2.0: Accurate semantic MT evaluation for any output languageChi-kiu Lo. 589-597 [doi]
• Blend: a Novel Combined MT Metric Based on Direct Assessment - CASICT-DCU submission to WMT17 Metrics TaskQingsong Ma, Yvette Graham, Shugen Wang, Qun Liu. 598-603 [doi]
• CUNI Experiments for WMT17 Metrics TaskDavid Marecek, Ondrej Bojar, Ondrej Hübsch, Rudolf Rosa, Dusan Varis. 604-611 [doi]
• chrF++: words helping character n-gramsMaja Popovic. 612-618 [doi]
• bleu2vec: the Painfully Familiar Metric on Continuous Vector Space SteroidsAndre Tättar, Mark Fishel. 619-622 [doi]
• LIG-CRIStAL Submission for the WMT 2017 Automatic Post-Editing TaskAlexandre Berard, Laurent Besacier, Olivier Pietquin. 623-629 [doi]
• Multi-source Neural Automatic Post-Editing: FBK's participation in the WMT 2017 APE shared taskRajen Chatterjee, M. Amin Farajian, Matteo Negri, Marco Turchi, Ankit Srivastava, Santanu Pal. 630-638 [doi]
• The AMU-UEdin Submission to the WMT 2017 Shared Task on Automatic Post-EditingMarcin Junczys-Dowmunt, Roman Grundkiewicz. 639-646 [doi]
• Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality EstimationChris Hokamp. 647-654 [doi]
• Neural Post-Editing Based on Quality EstimationYiming Tan, Zhiming Chen, Liu Huang, Lilin Zhang, Maoxi Li, Mingwen Wang. 655-660 [doi]
• CUNI System for WMT17 Automatic Post-Editing TaskDusan Varis, Ondrej Bojar. 661-666 [doi]
• The UMD Neural Machine Translation Systems at WMT17 Bandit Learning TaskAmr Sharaf, Shi Feng, Khanh Nguyen, Kianté Brantley, Hal Daumé III. 667-673 [doi]
• LIMSI Submission for WMT'17 Shared Task on Bandit LearningGuillaume Wisniewski. 674-679 [doi]
• Variable Mini-Batch Sizing and Pre-Trained EmbeddingsMostafa Abdou, Vladan Gloncak, Ondrej Bojar. 680-686 [doi]
• The AFRL WMT17 Neural Machine Translation Training Task SubmissionJeremy Gwinnup, Grant Erdmann, Katherine Young. 687-691 [doi]