Table of Contents

• Findings of the 2018 Conference on Machine Translation (WMT18)Ondrej Bojar, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Philipp Koehn, Christof Monz. 272-303 [doi]
• Findings of the Third Shared Task on Multimodal Machine TranslationLoïc Barrault, Fethi Bougares, Lucia Specia, Chiraag Lala, Desmond Elliott, Stella Frank. 304-323 [doi]
• Findings of the WMT 2018 Biomedical Translation Shared Task: Evaluation on Medline test setsMariana L. Neves, Antonio Jimeno-Yepes, Aurélie Névéol, Cristian Grozea, Amy Siu, Madeleine Kittner, Karin Verspoor. 324-339 [doi]
• An Empirical Study of Machine Translation for the Shared Task of WMT18Chao Bei, Hao Zong, Yiming Wang, Baoyong Fan, Shiqi Li, Conghu Yuan. 340-344 [doi]
• Robust parfda Statistical Machine Translation ResultsErgun Biçici. 345-354 [doi]
• The TALP-UPC Machine Translation Systems for WMT18 News Shared Translation TaskNoe Casas, Carlos Escolano, Marta R. Costa-Jussà, José A. R. Fonollosa. 355-360 [doi]
• Phrase-based Unsupervised Machine Translation with Compositional Phrase EmbeddingsMaksym Del, Andre Tättar, Mark Fishel. 361-367 [doi]
• Alibaba's Neural Machine Translation Systems for WMT18Yongchao Deng, Shanbo Cheng, Jun Lu, Kai Song, Jingang Wang, Shenglan Wu, Liang Yao, Guchun Zhang, Haibo Zhang, Pei Zhang, Changfeng Zhu, Boxing Chen. 368-376 [doi]
• The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018Miguel Graça, Yunsu Kim, Julian Schamper, Jiahui Geng, Hermann Ney. 377-385 [doi]
• Cognate-aware morphological segmentation for multilingual neural translationStig-Arne Grönroos, Sami Virpioja, Mikko Kurimo. 386-393 [doi]
• The AFRL WMT18 Systems: Ensembling, Continuation and CombinationJeremy Gwinnup, Tim Anderson, Grant Erdmann, Katherine Young. 394-398 [doi]
• The University of Edinburgh's Submissions to the WMT18 News Translation TaskBarry Haddow, Nikolay Bogoychev, Denis Emelin, Ulrich Germann, Roman Grundkiewicz, Kenneth Heafield, Antonio Valerio Miceli Barone, Rico Sennrich. 399-409 [doi]
• TencentFmRD Neural Machine Translation for WMT18Bojie Hu, Ambyer Han, Shen Huang. 410-417 [doi]
• The MLLP-UPV German-English Machine Translation System for WMT18Javier Iranzo-Sánchez, Pau Baquero-Arnal, Gonçal V. Garcés Díaz-Munío, Adria A. Martinez-Villaronga, Jorge Civera, Alfons Juan. 418-424 [doi]
• Microsoft's Submission to the WMT2018 News Translation Task: How I Learned to Stop Worrying and Love the DataMarcin Junczys-Dowmunt. 425-430 [doi]
• CUNI Submissions in WMT18Tom Kocmi, Roman Sudarikov, Ondrej Bojar. 431-437 [doi]
• The JHU Machine Translation Systems for WMT 2018Philipp Koehn, Kevin Duh, Brian Thompson. 438-444 [doi]
• JUCBNMT at WMT2018 News Translation Task: Character Based Neural Machine Translation of Finnish to EnglishSainik Kumar Mahata, Dipankar Das 0001, Sivaji Bandyopadhyay. 445-448 [doi]
• NICT's Neural and Statistical Machine Translation Systems for the WMT18 News Translation TaskBenjamin Marie, Rui Wang 0015, Atsushi Fujita, Masao Utiyama, Eiichiro Sumita. 449-455 [doi]
• PROMT Systems for WMT 2018 Shared Translation TaskAlexander Molchanov. 456-460 [doi]
• NTT's Neural Machine Translation Systems for WMT 2018Makoto Morishita, Jun Suzuki, Masaaki Nagata. 461-466 [doi]
• The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2018Ngoc-Quan Pham, Jan Niehues, Alexander H. Waibel. 467-472 [doi]
• Tilde's Machine Translation Systems for WMT 2018Marcis Pinnis, Matiss Rikters, Rihards Krislauks. 473-481 [doi]
• CUNI Transformer Neural MT System for WMT18Martin Popel. 482-487 [doi]
• The University of Helsinki submissions to the WMT18 news taskAlessandro Raganato, Yves Scherrer, Tommi Nieminen, Arvi Hurskainen, Jörg Tiedemann. 488-495 [doi]
• The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018Julian Schamper, Jan Rosendahl, Parnia Bahar, Yunsu Kim, Arne Nix, Hermann Ney. 496-503 [doi]
• The University of Cambridge's Machine Translation Systems for WMT18Felix Stahlberg, Adrià de Gispert, Bill Byrne. 504-512 [doi]
• The LMU Munich Unsupervised Machine Translation SystemsDario Stojanovski, Viktor Hangya, Matthias Huck, Alexander M. Fraser. 513-521 [doi]
• Tencent Neural Machine Translation Systems for WMT18Mingxuan Wang, Li Gong, Wenhuan Zhu, Jun Xie, Chao Bian. 522-527 [doi]
• The NiuTrans Machine Translation System for WMT18Qiang Wang, Bei Li, Jiqiang Liu, Bojian Jiang, Zheyang Zhang, Yinqiao Li, Ye-Lin, Tong Xiao, Jingbo Zhu. 528-534 [doi]
• The University of Maryland's Chinese-English Neural Machine Translation Systems at WMT18Weijia Xu, Marine Carpuat. 535-540 [doi]
• EvalD Reference-Less Discourse Evaluation for WMT18Ondrej Bojar, Jirí Mírovský, Katerina Rysova, Magdaléna Rysová. 541-545 [doi]
• The WMT'18 Morpheval test suites for English-Czech, English-German, English-Finnish and Turkish-EnglishFranck Burlot, Yves Scherrer, Vinit Ravishankar, Ondrej Bojar, Stig-Arne Grönroos, Maarit Koponen, Tommi Nieminen, François Yvon. 546-560 [doi]
• Testsuite on Czech-English Grammatical ContrastsSilvie Cinková, Ondrej Bojar. 561-569 [doi]
• A Pronoun Test Suite Evaluation of the English-German MT Systems at WMT 2018Liane Guillou, Christian Hardmeier, Ekaterina Lapshinova-Koltunski, Sharid Loáiciga. 570-577 [doi]
• Fine-grained evaluation of German-English Machine Translation based on a Test SuiteVivien Macketanz, Eleftherios Avramidis, Aljoscha Burchardt, Hans Uszkoreit. 578-587 [doi]
• The Word Sense Disambiguation Test Suite at WMT18Annette Rios, Mathias Müller, Rico Sennrich. 588-596 [doi]
• LIUM-CVC Submissions for WMT18 Multimodal Translation TaskOzan Caglayan, Adrien Bardet, Fethi Bougares, Loïc Barrault, Kai Wang, Marc Masana, Luis Herranz, Joost van de Weijer. 597-602 [doi]
• The MeMAD Submission to the WMT18 Multimodal Translation TaskStig-Arne Grönroos, Benoit Huet, Mikko Kurimo, Jorma Laaksonen, Bernard Mérialdo, Phu Pham, Mats Sjöberg, Umut Sulubacak, Jörg Tiedemann, Raphaël Troncy, Raúl Vázquez. 603-611 [doi]
• The AFRL-Ohio State WMT18 Multimodal System: Combining Visual with TraditionalJeremy Gwinnup, Joshua Sandvick, Michael Hutt, Grant Erdmann, John Duselis, James W. Davis. 612-615 [doi]
• CUNI System for the WMT18 Multimodal Translation TaskJindrich Helcl, Jindrich Libovický, Dusan Varis. 616-623 [doi]
• Sheffield Submissions for WMT18 Multimodal Translation Shared TaskChiraag Lala, Pranava Swaroop Madhyastha, Carolina Scarton, Lucia Specia. 624-631 [doi]
• Ensemble Sequence Level Training for Multimodal MT: OSU-Baidu WMT18 Multimodal Machine Translation System ReportRenjie Zheng, Yilin Yang, Mingbo Ma, Liang Huang 0001. 632-636 [doi]
• Translation of Biomedical Documents with Focus on Spanish-EnglishMirela-Stefania Duma, Wolfgang Menzel. 637-643 [doi]
• Ensemble of Translators with Automatic Selection of the Best Translation - the submission of FOKUS to the WMT 18 biomedical translation task -Cristian Grozea. 644-647 [doi]
• LMU Munich's Neural Machine Translation Systems at WMT 2018Matthias Huck, Dario Stojanovski, Viktor Hangya, Alexander M. Fraser. 648-654 [doi]
• Hunter NMT System for WMT18 Biomedical Translation Task: Transfer Learning in Neural Machine TranslationAbdul Khan, Subhadarshi Panda, Jia Xu, Lampros Flokas. 655-661 [doi]
• UFRGS Participation on the WMT Biomedical Translation Shared TaskFelipe Soares, Karin Becker. 662-666 [doi]
• Neural Machine Translation with the Transformer and Multi-Source Romance Languages for the Biomedical WMT 2018 taskBrian Tubay, Marta R. Costa-Jussà. 667-670 [doi]
• Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performanceQingsong Ma, Ondrej Bojar, Yvette Graham. 671-688 [doi]
• Findings of the WMT 2018 Shared Task on Quality EstimationLucia Specia, Frédéric Blain, Varvara Logacheva, Ramón Fernández Astudillo, André F. T. Martins. 689-709 [doi]
• Findings of the WMT 2018 Shared Task on Automatic Post-EditingRajen Chatterjee, Matteo Negri, Raphael Rubino, Marco Turchi. 710-725 [doi]
• Findings of the WMT 2018 Shared Task on Parallel Corpus FilteringPhilipp Koehn, Huda Khayrallah, Kenneth Heafield, Mikel L. Forcada. 726-739 [doi]
• Meteor++: Incorporating Copy Knowledge into Machine Translation EvaluationYinuo Guo, Chong Ruan, Junfeng Hu. 740-745 [doi]
• ITER: Improving Translation Edit Rate through Optimizable Edit CostsJoybrata Panja, Sudip Kumar Naskar. 746-750 [doi]
• RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation EvaluationHiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi. 751-758 [doi]
• Keep It or Not: Word Level Quality Estimation for Post-EditingPrasenjit Basu, Santanu Pal, Sudip Kumar Naskar. 759-764 [doi]
• RTM results for Predicting Translation PerformanceErgun Biçici. 765-769 [doi]
• Neural Machine Translation for English-TamilHimanshu Choudhary, Aditya Kumar Pathak, Rajiv Ratan Saha, Ponnurangam Kumaraguru. 770-775 [doi]
• The Benefit of Pseudo-Reference Translations in Quality Estimation of MT OutputMelania Duma, Wolfgang Menzel. 776-781 [doi]
• Supervised and Unsupervised Minimalist Quality Estimators: Vicomtech's Participation in the WMT 2018 Quality Estimation TaskThierry Etchegoyhen, Eva Martínez Garcia, Andoni Azpeitia. 782-787 [doi]
• Contextual Encoding for Translation Quality EstimationJunjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig. 788-793 [doi]
• Sheffield Submissions for the WMT18 Quality Estimation Shared TaskJulia Ive, Carolina Scarton, Frédéric Blain, Lucia Specia. 794-800 [doi]
• UAlacant machine translation quality estimation at WMT 2018: a simple approach using phrase tables and feed-forward neural networksFelipe Sánchez-Martínez, Miquel Esplà-Gomis, Mikel L. Forcada. 801-808 [doi]
• Alibaba Submission for WMT18 Quality Estimation TaskJiayi Wang, Kai Fan, Bo Li, Fengming Zhou, Boxing Chen, Yangbin Shi, Luo Si. 809-815 [doi]
• Quality Estimation with Force-Decoded Attention and Cross-lingual EmbeddingsElizaveta Yankovskaya, Andre Tättar, Mark Fishel. 816-821 [doi]
• MS-UEdin Submission to the WMT2018 APE Shared Task: Dual-Source Transformer for Automatic Post-EditingMarcin Junczys-Dowmunt, Roman Grundkiewicz. 822-826 [doi]
• A Transformer-Based Multi-Source Automatic Post-Editing SystemSantanu Pal, Nico Herbig, Antonio Krüger, Josef van Genabith. 827-835 [doi]
• DFKI-MLT System Description for the WMT18 Automatic Post-editing TaskDaria Pylypenko, Raphael Rubino. 836-839 [doi]
• Multi-encoder Transformer Network for Automatic Post-EditingJaehun Shin, Jong-Hyeok Lee. 840-845 [doi]
• Multi-source transformer with combined losses for automatic post editingAmirhossein Tebbifakhr, Ruchit Agrawal, Matteo Negri, Marco Turchi. 846-852 [doi]
• The Speechmatics Parallel Corpus Filtering System for WMT18Tom Ash, Remi Francis, Will Williams. 853-859 [doi]
• STACC, OOV Density and N-gram Saturation: Vicomtech's Participation in the WMT 2018 Shared Task on Parallel Corpus FilteringAndoni Azpeitia, Thierry Etchegoyhen, Eva Martínez Garcia. 860-866 [doi]
• A hybrid pipeline of rules and machine learning to filter web-crawled parallel corporaEduard Barbu, Verginica Barbu Mititelu. 867-871 [doi]
• Coverage and Cynicism: The AFRL Submission to the WMT 2018 Parallel Corpus Filtering TaskGrant Erdmann, Jeremy Gwinnup. 872-876 [doi]
• MAJE Submission to the WMT2018 Shared Task on Parallel Corpus FilteringMarina Fomicheva, Jesús González-Rubio. 877-881 [doi]
• An Unsupervised System for Parallel Corpus FilteringViktor Hangya, Alexander M. Fraser. 882-887 [doi]
• Dual Conditional Cross-Entropy Filtering of Noisy Parallel CorporaMarcin Junczys-Dowmunt. 888-895 [doi]
• The JHU Parallel Corpus Filtering Systems for WMT 2018Huda Khayrallah, Hainan Xu, Philipp Koehn. 896-899 [doi]
• Measuring sentence parallelism using Mahalanobis distances: The NRC unsupervised submissions to the WMT18 Parallel Corpus Filtering shared taskPatrick Littell, Samuel Larkin, Darlene A. Stewart, Michel Simard, Cyril Goutte, Chi-kiu Lo. 900-907 [doi]
• Accurate semantic textual similarity for cleaning noisy parallel corpora using semantic machine translation evaluation metric: The NRC supervised submissions to the Parallel Corpus Filtering taskChi-kiu Lo, Michel Simard, Darlene A. Stewart, Samuel Larkin, Cyril Goutte, Patrick Littell. 908-916 [doi]
• Alibaba Submission to the WMT18 Parallel Corpus Filtering TaskJun Lu, Xiaoyu Lv, Yangbin Shi, Boxing Chen. 917-922 [doi]
• UTFPR at WMT 2018: Minimalistic Supervised Corpora Filtering for Machine TranslationGustavo Paetzold. 923-927 [doi]
• The ILSP/ARC submission to the WMT 2018 Parallel Corpus Filtering Shared TaskVassilis Papavassiliou, Sokratis Sofianopoulos, Prokopis Prokopidis, Stelios Piperidis. 928-933 [doi]
• SYSTRAN Participation to the WMT2018 Shared Task on Parallel Corpus FilteringMinh Quang Pham, Josep Maria Crego, Jean Senellart. 934-938 [doi]
• Tilde's Parallel Corpus Filtering Methods for WMT 2018Marcis Pinnis. 939-945 [doi]
• The RWTH Aachen University Filtering System for the WMT 2018 Parallel Corpus Filtering TaskNick Rossenbach, Jan Rosendahl, Yunsu Kim, Miguel Graça, Aman Gokrani, Hermann Ney. 946-954 [doi]
• Prompsit's submission to WMT 2018 Parallel Corpus Filtering shared taskVíctor M. Sánchez-Cartagena, Marta Bañón, Sergio Ortiz-Rojas, Gema Ramírez-Sánchez. 955-962 [doi]
• NICT's Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering TaskRui Wang 0015, Benjamin Marie, Masao Utiyama, Eiichiro Sumita. 963-967 [doi]