Front matter vol. 1, vol. 2, vol. 3 |
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pages |
Research papers |
Saliency-driven Word Alignment Interpretation for Neural Machine Translation Shuoyang Ding, Hainan Xu and Philipp Koehn |
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vol 1, pp. 1‑12 |
Improving Zero-shot Translation with Language-Independent Constraints Ngoc-Quan Pham, Jan Niehues, Thanh-Le Ha and Alexander Waibel |
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vol 1, pp. 13‑23 |
Incorporating Source Syntax into Transformer-Based Neural Machine Translation Anna Currey and Kenneth Heafield |
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vol 1, pp. 24‑33 |
APE at Scale and Its Implications on MT Evaluation Biases Markus Freitag, Isaac Caswell and Scott Roy |
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vol 1, pp. 34‑44 |
Generalizing Back-Translation in Neural Machine Translation Miguel Graça, Yunsu Kim, Julian Schamper, Shahram Khadivi and Hermann Ney |
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vol 1, pp. 45‑52 |
Tagged Back-Translation Isaac Caswell, Ciprian Chelba and David Grangier |
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vol 1, pp. 53‑63 |
Hierarchical Document Encoder for Parallel Corpus Mining Mandy Guo, Yinfei Yang, Keith Stevens, Daniel Cer, Heming Ge, Yun-hsuan Sung, Brian Strope and Ray Kurzweil |
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vol 1, pp. 64‑72 |
The Effect of Translationese in Machine Translation Test Sets Mike Zhang and Antonio Toral |
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vol 1, pp. 73‑81 |
Customizing Neural Machine Translation for Subtitling Evgeny Matusov, Patrick Wilken and Yota Georgakopoulou |
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vol 1, pp. 82‑93 |
Integration of Dubbing Constraints into Machine Translation Ashutosh Saboo and Timo Baumann |
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vol 1, pp. 94‑101 |
Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts Denis Emelin, Ivan Titov and Rico Sennrich |
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vol 1, pp. 102‑115 |
A High-Quality Multilingual Dataset for Structured Documentation Translation Kazuma Hashimoto, Raffaella Buschiazzo, James Bradbury, Teresa Marshall, Richard Socher and Caiming Xiong |
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vol 1, pp. 116‑127 |
Shared Task Overview Papers |
Findings of the 2019 Conference on Machine Translation (WMT19) Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, Shervin Malmasi, Christof Monz, Mathias Müller, Santanu Pal, Matt Post and Marcos Zampieri |
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vol. 2, pp. 1‑61 |
Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges Qingsong Ma, Johnny Wei, Ondřej Bojar and Yvette Graham |
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vol. 2, pp. 62‑90 |
Findings of the First Shared Task on Machine Translation Robustness Xian Li, Paul Michel, Antonios Anastasopoulos, Yonatan Belinkov, Nadir Durrani, Orhan Firat, Philipp Koehn, Graham Neubig, Juan Pino and Hassan Sajjad |
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vol. 2, pp. 91‑102 |
Findings of the WMT 2019 Shared Tasks on Quality Estimation Erick Fonseca, Lisa Yankovskaya, André F. T. Martins, Mark Fishel and Christian Federmann |
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vol. 3, pp. 1‑12 |
Findings of the WMT 2019 Shared Task on Automatic Post-Editing Rajen Chatterjee, Christian Federmann, Matteo Negri and Marco Turchi |
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vol. 3, pp. 13‑30 |
Findings of the WMT 2019 Biomedical Translation Shared Task: Evaluation for MEDLINE Abstracts and Biomedical Terminologies Rachel Bawden, Kevin Bretonnel Cohen, Cristian Grozea, Antonio Jimeno Yepes, Madeleine Kittner, Martin Krallinger, Nancy Mah, Aurelie Neveol, Mariana Neves, Felipe Soares, Amy Siu, Karin Verspoor and Maika Vicente Navarro |
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vol. 3, pp. 31‑55 |
Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions Philipp Koehn, Francisco Guzmán, Vishrav Chaudhary and Juan Pino |
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vol. 3, pp. 56‑74 |
News Translation Task |
The University of Edinburgh’s Submissions to the WMT19 News Translation Task Rachel Bawden, Nikolay Bogoychev, Ulrich Germann, Roman Grundkiewicz, Faheem Kirefu, Antonio Valerio Miceli Barone and Alexandra Birch |
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vol. 2, pp. 103‑115 |
GTCOM Neural Machine Translation Systems for WMT19 Chao Bei, Hao Zong, Conghu Yuan, Qingming Liu and Baoyong Fan |
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vol. 2, pp. 116‑121 |
Machine Translation with parfda, Moses, kenlm, nplm, and PRO Ergun Biçici |
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vol. 2, pp. 122‑128 |
LIUM’s Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs Fethi Bougares, Jane Wottawa, Anne Baillot, Loïc Barrault and Adrien Bardet |
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vol. 2, pp. 129‑133 |
The University of Maryland’s Kazakh-English Neural Machine Translation System at WMT19 Eleftheria Briakou and Marine Carpuat |
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vol. 2, pp. 134‑140 |
DBMS-KU Interpolation for WMT19 News Translation Task Sari Dewi Budiwati, Al Hafiz Akbar Maulana Siagian, Tirana Noor Fatyanosa and Masayoshi Aritsugi |
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vol. 2, pp. 141‑146 |
Lingua Custodia at WMT’19: Attempts to Control Terminology Franck Burlot |
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vol. 2, pp. 147‑154 |
The TALP-UPC Machine Translation Systems for WMT19 News Translation Task: Pivoting Techniques for Low Resource MT Noe Casas, José A. R. Fonollosa, Carlos Escolano, Christine Basta and Marta R. Costa-jussà |
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vol. 2, pp. 155‑162 |
Kyoto University Participation to the WMT 2019 News Shared Task Fabien Cromieres and Sadao Kurohashi |
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vol. 2, pp. 163‑167 |
NICT’s Supervised Neural Machine Translation Systems for the WMT19 News Translation Task Raj Dabre, Kehai Chen, Benjamin Marie, Rui Wang, Atsushi Fujita, Masao Utiyama and Eiichiro Sumita |
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vol. 2, pp. 168‑174 |
The University of Sydney’s Machine Translation System for WMT19 Liang Ding and Dacheng Tao |
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vol. 2, pp. 175‑182 |
UdS-DFKI Participation at WMT 2019: Low-Resource (en-gu) and Coreference-Aware (en-de) Systems Cristina España-Bonet and Dana Ruiter |
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vol. 2, pp. 183‑190 |
The IIIT-H Gujarati-English Machine Translation System for WMT19 Vikrant Goyal and Dipti Misra Sharma |
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vol. 2, pp. 191‑195 |
Kingsoft’s Neural Machine Translation System for WMT19 Xinze Guo, Chang Liu, Xiaolong Li, Yiran Wang, Guoliang Li, Feng Wang, Zhitao Xu, Liuyi Yang, Li Ma and Changliang Li |
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vol. 2, pp. 196‑202 |
The AFRL WMT19 Systems: Old Favorites and New Tricks Jeremy Gwinnup, Grant Erdmann and Tim Anderson |
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vol. 2, pp. 203‑208 |
Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models Chris Hokamp, John Glover and Demian Gholipour Ghalandari |
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vol. 2, pp. 209‑217 |
The MLLP-UPV Supervised Machine Translation Systems for WMT19 News Translation Task Javier Iranzo-Sánchez, Gonçal Garcés Díaz-Munío, Jorge Civera and Alfons Juan |
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vol. 2, pp. 218‑224 |
Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine Translation Marcin Junczys-Dowmunt |
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vol. 2, pp. 225‑233 |
CUNI Submission for Low-Resource Languages in WMT News 2019 Tom Kocmi and Ondřej Bojar |
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vol. 2, pp. 234‑240 |
CUNI Systems for the Unsupervised News Translation Task in WMT 2019 Ivana Kvapilíková, Dominik Macháček and Ondřej Bojar |
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vol. 2, pp. 241‑248 |
A Comparison on Fine-grained Pre-trained Embeddings for the WMT19Chinese-English News Translation Task Zhenhao Li and Lucia Specia |
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vol. 2, pp. 249‑256 |
The NiuTrans Machine Translation Systems for WMT19 Bei Li, Yinqiao Li, Chen Xu, Ye Lin, Jiqiang Liu, Hui Liu, Ziyang Wang, Yuhao Zhang, Nuo Xu, Zeyang Wang, Kai Feng, Hexuan Chen, Tengbo Liu, Yanyang Li, Qiang Wang, Tong Xiao and Jingbo Zhu |
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vol. 2, pp. 257‑266 |
Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation Patrick Littell, Chi-kiu Lo, Samuel Larkin and Darlene Stewart |
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vol. 2, pp. 267‑274 |
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring Zihan Liu, Yan Xu, Genta Indra Winata and Pascale Fung |
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vol. 2, pp. 275‑282 |
JUMT at WMT2019 News Translation Task: A Hybrid Approach to Machine Translation for Lithuanian to English Sainik Kumar Mahata, Avishek Garain, Adityar Rayala, Dipankar Das and Sivaji Bandyopadhyay |
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vol. 2, pp. 283‑286 |
Johns Hopkins University Submission for WMT News Translation Task Kelly Marchisio, Yash Kumar Lal and Philipp Koehn |
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vol. 2, pp. 287‑293 |
NICT’s Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task Benjamin Marie, Haipeng Sun, Rui Wang, Kehai Chen, Atsushi Fujita, Masao Utiyama and Eiichiro Sumita |
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vol. 2, pp. 294‑301 |
PROMT Systems for WMT 2019 Shared Translation Task Alexander Molchanov |
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vol. 2, pp. 302‑307 |
JU-Saarland Submission to the WMT2019 English–Gujarati Translation Shared Task Riktim Mondal, Shankha Raj Nayek, Aditya Chowdhury, Santanu Pal, Sudip Kumar Naskar and Josef van Genabith |
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vol. 2, pp. 308‑313 |
Facebook FAIR’s WMT19 News Translation Task Submission Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli and Sergey Edunov |
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vol. 2, pp. 314‑319 |
eTranslation’s Submissions to the WMT 2019 News Translation Task Csaba Oravecz, Katina Bontcheva, Adrien Lardilleux, László Tihanyi and Andreas Eisele |
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vol. 2, pp. 320‑326 |
Tilde’s Machine Translation Systems for WMT 2019 Marcis Pinnis, Rihards Krišlauks and Matiss Rikters |
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vol. 2, pp. 327‑334 |
Apertium-fin-eng–Rule-based Shallow Machine Translation for WMT 2019 Shared Task Tommi Pirinen |
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vol. 2, pp. 335‑341 |
English-Czech Systems in WMT19: Document-Level Transformer Martin Popel, Dominik Macháček, Michal Auersperger, Ondřej Bojar and Pavel Pecina |
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vol. 2, pp. 342‑348 |
The RWTH Aachen University Machine Translation Systems for WMT 2019 Jan Rosendahl, Christian Herold, Yunsu Kim, Miguel Graça, Weiyue Wang, Parnia Bahar, Yingbo Gao and Hermann Ney |
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vol. 2, pp. 349‑355 |
The Universitat d’Alacant Submissions to the English-to-Kazakh News Translation Task at WMT 2019 Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz and Felipe Sánchez-Martínez |
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vol. 2, pp. 356‑363 |
CUED@WMT19:EWC&LMs Felix Stahlberg, Danielle Saunders, Adrià de Gispert and Bill Byrne |
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vol. 2, pp. 364‑373 |
Baidu Neural Machine Translation Systems for WMT19 Meng Sun, Bojian Jiang, Hao Xiong, Zhongjun He, Hua Wu and Haifeng Wang |
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vol. 2, pp. 374‑381 |
University of Tartu’s Multilingual Multi-domain WMT19 News Translation Shared Task Submission Andre Tättar, Elizaveta Korotkova and Mark Fishel |
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vol. 2, pp. 382‑385 |
Neural Machine Translation for English–Kazakh with Morphological Segmentation and Synthetic Data Antonio Toral, Lukas Edman, Galiya Yeshmagambetova and Jennifer Spenader |
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vol. 2, pp. 386‑392 |
The LMU Munich Unsupervised Machine Translation System for WMT19 Dario Stojanovski, Viktor Hangya, Matthias Huck and Alexander Fraser |
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vol. 2, pp. 393‑399 |
Combining Local and Document-Level Context: The LMU Munich Neural Machine Translation System at WMT19 Dario Stojanovski and Alexander Fraser |
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vol. 2, pp. 400‑406 |
IITP-MT System for Gujarati-English News Translation Task at WMT 2019 Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal and Pushpak Bhattacharyya |
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vol. 2, pp. 407‑411 |
The University of Helsinki Submissions to the WMT19 News Translation Task Aarne Talman, Umut Sulubacak, Raúl Vázquez, Yves Scherrer, Sami Virpioja, Alessandro Raganato, Arvi Hurskainen and Jörg Tiedemann |
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vol. 2, pp. 412‑423 |
Microsoft Research Asia’s Systems for WMT19 Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Di He, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin and Tie-Yan Liu |
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vol. 2, pp. 424‑433 |
The En-Ru Two-way Integrated Machine Translation System Based on Transformer Doron Yu |
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vol. 2, pp. 434‑439 |
DFKI-NMT Submission to the WMT19 News Translation Task Jingyi Zhang and Josef van Genabith |
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vol. 2, pp. 440‑444 |
Test Suites Papers |
Linguistic Evaluation of German-English Machine Translation Using a Test Suite Eleftherios Avramidis, Vivien Macketanz, Ursula Strohriegel and Hans Uszkoreit |
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vol. 2, pp. 445‑454 |
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19 Kateřina Rysová, Magdaléna Rysová, Tomáš Musil, Lucie Poláková and Ondřej Bojar |
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vol. 2, pp. 455‑463 |
Evaluating Conjunction Disambiguation on English-to-German and French-to-German WMT 2019 Translation Hypotheses Maja Popović |
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vol. 2, pp. 464‑469 |
The MuCoW Test Suite at WMT 2019: Automatically Harvested Multilingual Contrastive Word Sense Disambiguation Test Sets for Machine Translation Alessandro Raganato, Yves Scherrer and Jörg Tiedemann |
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vol. 2, pp. 470‑480 |
SAO WMT19 Test Suite: Machine Translation of Audit Reports Tereza Vojtěchová, Michal Novák, Miloš Klouček and Ondřej Bojar |
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vol. 2, pp. 481‑493 |
Metrics Task Papers |
WMDO: Fluency-based Word Mover’s Distance for Machine Translation Evaluation Julian Chow, Lucia Specia and Pranava Madhyastha |
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vol. 2, pp. 494‑500 |
Meteor++ 2.0: Adopt Syntactic Level Paraphrase Knowledge into Machine Translation Evaluation Yinuo Guo and Junfeng Hu |
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vol. 2, pp. 501‑506 |
YiSi - a Unified Semantic MT Quality Evaluation and Estimation Metric for Languages with Different Levels of Available Resources Chi-kiu Lo |
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vol. 2, pp. 507‑513 |
EED: Extended Edit Distance Measure for Machine Translation Peter Stanchev, Weiyue Wang and Hermann Ney |
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vol. 2, pp. 514‑520 |
Filtering Pseudo-References by Paraphrasing for Automatic Evaluation of Machine Translation Ryoma Yoshimura, Hiroki Shimanaka, Yukio Matsumura, Hayahide Yamagishi and Mamoru Komachi |
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vol. 2, pp. 521‑525 |
Robustness Task Papers |
Naver Labs Europe’s Systems for the WMT19 Machine Translation Robustness Task Alexandre Berard, Ioan Calapodescu and Claude Roux |
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vol. 2, pp. 526‑532 |
NICT’s Supervised Neural Machine Translation Systems for the WMT19 Translation Robustness Task Raj Dabre and Eiichiro Sumita |
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vol. 2, pp. 533‑536 |
System Description: The Submission of FOKUS to the WMT 19 Robustness Task Cristian Grozea |
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vol. 2, pp. 537‑538 |
CUNI System for the WMT19 Robustness Task Jindřich Helcl, Jindřich Libovický and Martin Popel |
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vol. 2, pp. 539‑543 |
NTT’s Machine Translation Systems for WMT19 Robustness Task Soichiro Murakami, Makoto Morishita, Tsutomu Hirao and Masaaki Nagata |
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vol. 2, pp. 544‑551 |
JHU 2019 Robustness Task System Description Matt Post and Kevin Duh |
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vol. 2, pp. 552‑558 |
Robust Machine Translation with Domain Sensitive Pseudo-Sources: Baidu-OSU WMT19 MT Robustness Shared Task System Report Renjie Zheng, Hairong Liu, Mingbo Ma, Baigong Zheng and Liang Huang |
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vol. 2, pp. 559‑564 |
Improving Robustness of Neural Machine Translation with Multi-task Learning Shuyan Zhou, Xiangkai Zeng, Yingqi Zhou, Antonios Anastasopoulos and Graham Neubig |
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vol. 2, pp. 565‑571 |
Quality Estimation Task Papers |
RTM Stacking Results for Machine Translation Performance Prediction Ergun Biçici |
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vol. 3, pp. 75‑79 |
Unbabel’s Participation in the WMT19 Translation Quality Estimation Shared Task Fabio Kepler, Jonay Trénous, Marcos Treviso, Miguel Vera, António Góis, M. Amin Farajian, António V. Lopes and André F. T. Martins |
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vol. 3, pp. 80‑86 |
QE BERT: Bilingual BERT Using Multi-task Learning for Neural Quality Estimation Hyun Kim, Joon-Ho Lim, Hyun-Ki Kim and Seung-Hoon Na |
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vol. 3, pp. 87‑91 |
MIPT System for World-Level Quality Estimation Mikhail Mosyagin and Varvara Logacheva |
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vol. 3, pp. 92‑96 |
NJU Submissions for the WMT19 Quality Estimation Shared Task Hou Qi |
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vol. 3, pp. 97‑102 |
Quality Estimation and Translation Metrics via Pre-trained Word and Sentence Embeddings Elizaveta Yankovskaya, Andre Tättar and Mark Fishel |
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vol. 3, pp. 103‑107 |
SOURCE: SOURce-Conditional Elmo-style Model for Machine Translation Quality Estimation Junpei Zhou, Zhisong Zhang and Zecong Hu |
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vol. 3, pp. 108‑113 |
Automatic Post-Editing Task Papers |
Transformer-based Automatic Post-Editing Model with Joint Encoder and Multi-source Attention of Decoder WonKee Lee, Jaehun Shin and Jong-Hyeok Lee |
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vol. 3, pp. 114‑119 |
Unbabel’s Submission to the WMT2019 APE Shared Task: BERT-Based Encoder-Decoder for Automatic Post-Editing António V. Lopes, M. Amin Farajian, Gonçalo M. Correia, Jonay Trénous and André F. T. Martins |
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vol. 3, pp. 120‑125 |
USAAR-DFKI – The Transference Architecture for English–German Automatic Post-Editing Santanu Pal, Hongfei Xu, Nico Herbig, Antonio Krüger and Josef van Genabith |
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vol. 3, pp. 126‑133 |
APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared Task Dimitar Shterionov, Joachim Wagner and Félix do Carmo |
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vol. 3, pp. 134‑140 |
Effort-Aware Neural Automatic Post-Editing Amirhossein Tebbifakhr, Matteo Negri and Marco Turchi |
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vol. 3, pp. 141‑146 |
UdS Submission for the WMT 19 Automatic Post-Editing Task Hongfei Xu, Qiuhui Liu and Josef van Genabith |
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vol. 3, pp. 147‑152 |
Biomedical Translation Task Papers |
Terminology-Aware Segmentation and Domain Feature for the WMT19 Biomedical Translation Task Casimiro Pio Carrino, Bardia Rafieian, Marta R. Costa-jussà and José A. R. Fonollosa |
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vol. 3, pp. 153‑157 |
Exploring Transfer Learning and Domain Data Selection for the Biomedical Translation Noor-e- Hira, Sadaf Abdul Rauf, Kiran Kiani, Ammara Zafar and Raheel Nawaz |
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vol. 3, pp. 158‑165 |
Huawei’s NMT Systems for the WMT 2019 Biomedical Translation Task Wei Peng, Jianfeng Liu, Liangyou Li and Qun Liu |
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vol. 3, pp. 166‑170 |
UCAM Biomedical Translation at WMT19: Transfer Learning Multi-domain Ensembles Danielle Saunders, Felix Stahlberg and Bill Byrne |
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vol. 3, pp. 171‑176 |
BSC Participation in the WMT Translation of Biomedical Abstracts Felipe Soares and Martin Krallinger |
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vol. 3, pp. 177‑180 |
Similar Languages Task Papers |
The MLLP-UPV Spanish-Portuguese and Portuguese-Spanish Machine Translation Systems for WMT19 Similar Language Translation Task Pau Baquero-Arnal, Javier Iranzo-Sánchez, Jorge Civera and Alfons Juan |
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vol. 3, pp. 181‑186 |
The TALP-UPC System for the WMT Similar Language Task: Statistical vs Neural Machine Translation Magdalena Biesialska, Lluis Guardia and Marta R. Costa-jussà |
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vol. 3, pp. 187‑193 |
Machine Translation from an Intercomprehension Perspective Yu Chen and Tania Avgustinova |
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vol. 3, pp. 194‑198 |
Utilizing Monolingual Data in NMT for Similar Languages: Submission to Similar Language Translation Task Jyotsana Khatri and Pushpak Bhattacharyya |
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vol. 3, pp. 199‑203 |
Neural Machine Translation: Hindi-Nepali Sahinur Rahman Laskar, Partha Pakray and Sivaji Bandyopadhyay |
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vol. 3, pp. 204‑209 |
NICT’s Machine Translation Systems for the WMT19 Similar Language Translation Task Benjamin Marie, Raj Dabre and Atsushi Fujita |
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vol. 3, pp. 210‑214 |
Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019 Atul Kr. Ojha, Ritesh Kumar, Akanksha Bansal and Priya Rani |
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vol. 3, pp. 215‑220 |
UDS–DFKI Submission to the WMT2019 Czech–Polish Similar Language Translation Shared Task Santanu Pal, Marcos Zampieri and Josef van Genabith |
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vol. 3, pp. 221‑225 |
Neural Machine Translation of Low-Resource and Similar Languages with Backtranslation Michael Przystupa and Muhammad Abdul-Mageed |
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vol. 3, pp. 226‑237 |
The University of Helsinki Submissions to the WMT19 Similar Language Translation Task Yves Scherrer, Raúl Vázquez and Sami Virpioja |
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vol. 3, pp. 238‑246 |
Parallel Corpus Filtering Task Papers |
Dual Monolingual Cross-Entropy Delta Filtering of Noisy Parallel Data Amittai Axelrod, Anish Kumar and Steve Sloto |
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vol. 3, pp. 247‑253 |
NRC Parallel Corpus Filtering System for WMT 2019 Gabriel Bernier-Colborne and Chi-kiu Lo |
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vol. 3, pp. 254‑262 |
Low-Resource Corpus Filtering Using Multilingual Sentence Embeddings Vishrav Chaudhary, Yuqing Tang, Francisco Guzmán, Holger Schwenk and Philipp Koehn |
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vol. 3, pp. 263‑268 |
Quality and Coverage: The AFRL Submission to the WMT19 Parallel Corpus Filtering for Low-Resource Conditions Task Grant Erdmann and Jeremy Gwinnup |
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vol. 3, pp. 269‑272 |
Webinterpret Submission to the WMT2019 Shared Task on Parallel Corpus Filtering Jesús González-Rubio |
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vol. 3, pp. 273‑278 |
Noisy Parallel Corpus Filtering through Projected Word Embeddings Murathan Kurfalı and Robert Östling |
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vol. 3, pp. 279‑283 |
Filtering of Noisy Parallel Corpora Based on Hypothesis Generation Zuzanna Parcheta, Germán Sanchis-Trilles and Francisco Casacuberta |
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vol. 3, pp. 284‑290 |
Parallel Corpus Filtering Based on Fuzzy String Matching Sukanta Sen, Asif Ekbal and Pushpak Bhattacharyya |
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vol. 3, pp. 291‑295 |
The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task Raúl Vázquez, Umut Sulubacak and Jörg Tiedemann |
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vol. 3, pp. 296‑302 |
Last modified on July 30, 2019, 8:40 p.m.