WMT16
Conference on Machine Translation
Location
- Berlin, Germany
Links
Shared Tasks
- News
- IT
- Biomedical
- Multimodal
- Cross-lingual Pronoun Prediction
- Metrics
- Quality estimation
- Tuning
- Automatic post-editing
- Bilingual Document Alignment
Schedule
Day 1
8:45 | Opening Remarks |
9:00 | Session 1 Shared Tasks Overview Presentations I |
9:00 | Shared Task: News Translation |
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, Marcos Zampieri | |
9:20 | Shared Task: IT-Domain Translation |
9:35 | Shared Task: Biomedical Translation |
9:50 | Shared Task: Metrics |
Results of the WMT16 Metrics Shared Task Ondřej Bojar, Yvette Graham, Amir Kamran, Miloš Stanojević | |
10:10 | Shared Task: Tuning |
Results of the WMT16 Tuning Shared Task Bushra Jawaid, Amir Kamran, Miloš Stanojević, Ondřej Bojar | |
10:30 | ☕️ |
11:00 | Session 2: Shared Tasks Poster Session I |
11:00 | Shared Task: News Translation |
LIMSI@WMT’16: Machine Translation of News Alexandre Allauzen, Lauriane Aufrant, Franck Burlot, Elena Knyazeva, Ophélie Lacroix, Thomas Lavergne, Guillaume Wisniewski, François Yvon | |
TÜBİTAK SMT System Submission for WMT2016 Emre Bektaş, Ertuğrul Yilmaz, Coşkun Mermer, İlknur Durgar El-Kahlout | |
ParFDA for Instance Selection for Statistical Machine Translation Ergun Bicici | |
Sheffield Systems for the English-Romanian WMT Translation Task Frédéric Blain, Xingyi Song, Lucia Specia | |
MetaMind Neural Machine Translation System for WMT 2016 James Bradbury, Richard Socher | |
NYU-MILA Neural Machine Translation Systems for WMT’16 Junyoung Chung, Kyunghyun Cho, Yoshua Bengio | |
The JHU Machine Translation Systems for WMT 2016 Shuoyang Ding, Kevin Duh, Huda Khayrallah, Philipp Koehn, Matt Post | |
Yandex School of Data Analysis approach to English-Turkish translation at WMT16 News Translation Task Anton Dvorkovich, Sergey Gubanov, Irina Galinskaya | |
Hybrid Morphological Segmentation for Phrase-Based Machine Translation Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo | |
The AFRL-MITLL WMT16 News-Translation Task Systems Jeremy Gwinnup, Tim Anderson, Grant Erdmann, Katherine Young, Michaeel Kazi, Elizabeth Salesky, Brian Thompson | |
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, Alexander Waibel | |
The Edinburgh/LMU Hierarchical Machine Translation System for WMT 2016 Matthias Huck, Alexander Fraser, Barry Haddow | |
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, Rico Sennrich | |
NRC Russian-English Machine Translation System for WMT 2016 Chi-kiu Lo, Colin Cherry, George Foster, Darlene Stewart, Rabib Islam, Anna Kazantseva, Roland Kuhn | |
Merged bilingual trees based on Universal Dependencies in Machine Translation David Mareček | |
PROMT Translation Systems for WMT 2016 Translation Tasks Alexander Molchanov, Fedor Bykov | |
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, Stella Frank | |
The RWTH Aachen University English-Romanian Machine Translation System for WMT 2016 Jan-Thorsten Peter, Tamer Alkhouli, Andreas Guta, Hermann Ney | |
Abu-MaTran at WMT 2016 Translation Task: Deep Learning, Morphological Segmentation and Tuning on Character Sequences Víctor M. Sánchez-Cartagena, Antonio Toral | |
Edinburgh Neural Machine Translation Systems for WMT 16 Rico Sennrich, Barry Haddow, Alexandra Birch | |
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16 Felix Stahlberg, Eva Hasler, Bill Byrne | |
CUNI-LMU Submissions in WMT2016: Chimera Constrained and Beaten Aleš Tamchyna, Roman Sudarikov, Ondřej Bojar, Alexander Fraser | |
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, Marion Weller-Di Marco | |
Edinburgh’s Statistical Machine Translation Systems for WMT16 Philip Williams, Rico Sennrich, Maria Nadejde, Matthias Huck, Barry Haddow, Ondřej Bojar | |
PJAIT Systems for the WMT 2016 Krzysztof Wolk, Krzysztof Marasek | |
11:00 | Shared Task: IT-domain Translation |
DFKI’s system for WMT16 IT-domain task, including analysis of systematic errors Eleftherios Avramidis, Aljoscha Burchardt, Vivien Macketanz, Ankit Srivastava | |
ILLC-UvA Adaptation System (Scorpio) at WMT’16 IT-DOMAIN Task Hoang Cuong, Stella Frank, Khalil Sima’an | |
Data Selection for IT Texts using Paragraph Vector Mirela-Stefania Duma, Wolfgang Menzel | |
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, António Branco | |
JU-USAAR: A Domain Adaptive MT System Koushik Pahari, Alapan Kuila, Santanu Pal, Sudip Kumar Naskar, Sivaji Bandyopadhyay, Josef van Genabith | |
Dictionary-based Domain Adaptation of MT Systems without Retraining Rudolf Rosa, Roman Sudarikov, Michal Novák, Martin Popel, Ondřej Bojar | |
11:00 | Shared Task: Biomedical Translation |
English-Portuguese Biomedical Translation Task Using a Genuine Phrase-Based Statistical Machine Translation Approach José Aires, Gabriel Lopes, Luís Gomes | |
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, José A. R. Fonollosa | |
LIMSI’s Contribution to the WMT’16 Biomedical Translation Task Julia Ive, Aurélien Max, François Yvon | |
IXA Biomedical Translation System at WMT16 Biomedical Translation Task Olatz Perez-de-Viñaspre, Gorka Labaka | |
11:00 | Shared Task: Metrics |
CobaltF: A Fluent Metric for MT Evaluation Marina Fomicheva, Núria Bel, Lucia Specia, Iria da Cunha, Anton Malinovskiy | |
DTED: Evaluation of Machine Translation Structure Using Dependency Parsing and Tree Edit Distance Martin McCaffery, Mark-Jan Nederhof | |
chrF deconstructed: beta parameters and n-gram weights Maja Popović | |
CharacTer: Translation Edit Rate on Character Level Weiyue Wang, Jan-Thorsten Peter, Hendrik Rosendahl, Hermann Ney | |
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, Mingwen Wang | |
11:00 | Shared Task: Tuning |
12:30 | 🍴 |
14:00 | Session 3: Invited Talk Interactive Machine Translation: From Research to Practice Spence Green |
15:30 | ☕️ |
16:00 | Session 4: Research Papers on Linguistic Modelling |
16:00 | Cross-language Projection of Dependency Trees with Constrained Partial Parsing for Tree-to-Tree Machine Translation Yu Shen, Chenhui Chu, Fabien Cromieres, Sadao Kurohashi |
16:20 | Improving Pronoun Translation by Modeling Coreference Uncertainty Ngoc Quang Luong, Andrei Popescu-Belis |
16:40 | Modeling verbal inflection for English to German SMT Anita Ramm, Alexander Fraser |
17:00 | Modeling Selectional Preferences of Verbs and Nouns in String-to-Tree Machine Translation Maria Nadejde, Alexandra Birch, Philipp Koehn |
17:20 | Modeling Complement Types in Phrase-Based SMT Marion Weller-Di Marco, Alexander Fraser, Sabine Schulte im Walde |
Day 2
Results
General Task
Full results of the shared task: Findings of the 2016 Conference on Machine Translation (WMT16)
News translation
The results were determined with a relative ranking through the TrueSkill model.
→ English
Language pair | System | Score |
---|---|---|
Czech → | UEDIN-NMT | 0.62 |
Romanian → | ONLINE-B | 0.58 |
German → | UEDIN-NMT | 0.82 |
Russian → | AMU-UEDIN | 0.45 |
Turkish → | ONLINE-B | 0.82 |
Finnish → | UEDIN-PBMT | 0.42 |
English →
Language pair | System | Score |
---|---|---|
→ Czech | UEDIN-NMT | 0.59 |
→ Romanian | UEDIN-NMT | 0.45 |
→ German | UEDIN-NMT | 0.49 |
→ Russian | PROMT-RULE | 0.79 |
→ Turkish | ONLINE-G | 0.76 |
→ Finnish | ONLINE-G | 0.36 |