WMT 2020

WMT 2020
5th Conference on Machine translationLATION
Event in series	WMT
Dates	2020/11/19 (iCal) - 2020/11/20
Homepage:	http://www.statmt.org/wmt20/
Location
Location:	, Online
Important dates
Papers:	2020/08/15
Submissions:	2020/08/15
Notification:	2020/09/29
Camera ready due:	2020/10/10
Table of Contents

EMNLP 2020FIFTH CONFERENCE ON MACHINE TRANSLATION (WMT20), November 19-20, 2020, Online WMT 20 This conference builds on a series of annual workshops and conferences on statistical machine translation, going back to 2006:

• the NAACL-2006 Workshop on Statistical Machine Translation,
• the ACL-2007 Workshop on Statistical Machine Translation,
• the ACL-2008 Workshop on Statistical Machine Translation,
• the EACL-2009 Workshop on Statistical Machine Translation,
• the ACL-2010 Workshop on Statistical Machine Translation
• the EMNLP-2011 Workshop on Statistical Machine Translation,
• the NAACL-2012 Workshop on Statistical Machine Translation,
• the ACL-2013 Workshop on Statistical Machine Translation,
• the ACL-2014 Workshop on Statistical Machine Translation,
• the EMNLP-2015 Workshop on Statistical Machine Translation,
• the First Conference on Machine Translation (at ACL-2016),
• the Second Conference on Machine Translation (at EMNLP-2017),
• the Third Conference on Machine Translation (at EMNLP-2018).
• the Fourth Conference on Machine Translation (at ACL-2019).

IMPORTANT DATES

• Release of training data for shared tasks: February/March, 2020
• Evaluation periods for shared tasks: May/June, 2020
• Paper submission deadline: August 15, 2020
• Paper notification: September 29, 2020
• Camera-ready version due: October 10, 2020
• Online Conference: November 19-20, 2020

TASKS This year's conference will feature the following shared tasks:

• a news translation task
• a biomedical translation task ,
• a similar language translation task,
• an automatic post-editing task,
• a metrics task (assess MT quality given reference translation),
• a quality estimation task (assess MT quality without access to any reference),
• a parallel corpus filtering and alignment task,
• a lifelong learning in MT task. NEW
• a chat translation task. NEW

TOPICS

In addition to the shared tasks, the conference will also feature scientific papers on topics related to MT. Topics of interest include, but are not limited to:

• MT models (neural, statistical etc. )
• analysis of neural models for MT
• using comparable corpora for MT
• selection and preparation of data for MT
• semi-supervised and unsupervised learning for MT, transfer learning
• multilingual MT
• incorporating linguistic information into MT
• MT inference
• manual and automatic methods for evaluating MT
• quality estimation for MT

We encourage authors to evaluate their approaches to the above topics using the common data sets created for the shared tasks.

REGISTRATION AND VISA INFORMATION These will both be handled by EMNLP 2020.

NEWS TRANSLATION TASK This shared task will examine translation between the following language pairs:

• English to/from Chinese
• English to/from Czech (both directions again)
• English to/from German
• English to/from Inuktitut
• English to/from Japanese
• English to/from Polish
• English to/from Russian
• English to/from Tamil

Additional language pairs are still to be confirmed.

ORGANIZERS

• Loïc Barrault (University of Sheffield)
• Ondřej Bojar (Charles University in Prague)
• Fethi Bougares (University of Le Mans)
• Rajen Chatterjee (Apple)
• Marta R. Costa-jussà (Universitat Politècnica de Catalunya
• Christian Federmann (MSR)
• Mark Fishel (University of Tartu)
• Alexander Fraser (LMU Munich)
• Yvette Graham (DCU)
• Paco Guzman (Facebook)
• Barry Haddow (University of Edinburgh)
• Matthias Huck (LMU Munich)
• Antonio Jimeno Yepes (IBM Research Australia)
• Philipp Koehn (University of Edinburgh / Johns Hopkins University)
• André Martins (Unbabel)
• Makoto Morishita (NTT)
• Christof Monz (University of Amsterdam)
• Masaaki Nagata (NTT)
• Toshiaki Nakazawa (University of Tokyo)
• Matteo Negri (FBK)
• Aurélie Névéol (LIMSI, CNRS)
• Mariana Neves (German Federal Institute for Risk Assessment)
• Martin Popel (Charles University in Prague)
• Matt Post (Johns Hopkins University)
• Marco Turchi (FBK)
• Marcos Zampieri (Rochester Institute of Technology)