Findings of the 2016 Conference on Machine Translation (WMT16)

Ondrej 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 VerspoorMarcos Zampieri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

This paper presents the results of the WMT16 shared tasks, which included five machine translation (MT) tasks (standard news, IT-domain, biomedical, multimodal, pronoun), three evaluation tasks (metrics, tuning, run-time estimation of MT quality), and an automatic post-editing task and bilingual document alignment task. This year, 102 MT systems from 24 institutions (plus 36 anonymized online systems) were submitted to the 12 translation directions in the news translation task. The IT-domain task received 31 submissions from 12 institutions in 7 directions and the Biomedical task received 15 submissions systems from 5 institutions. Evaluation was both automatic and manual (relative ranking and 100-point scale assessments). The quality estimation task had three subtasks, with a total of 14 teams, submitting 39 entries. The automatic post-editing task had a total of 6 teams, submitting 11 entries.
Original languageEnglish
Title of host publicationProceedings of the First Conference on Machine Translation, Volume 2: Shared Task Papers
Place of PublicationBerlin, Germany
PublisherAssociation for Computational Linguistics
Pages131-198
Number of pages68
ISBN (Electronic)978-1-945626-10-4
DOIs
Publication statusPublished - 12 Aug 2016
EventFirst Conference on Machine Translation - Berlin, Germany
Duration: 11 Aug 201612 Aug 2016
http://www.statmt.org/wmt16/

Conference

ConferenceFirst Conference on Machine Translation
Abbreviated titleWMT16
Country/TerritoryGermany
CityBerlin
Period11/08/1612/08/16
Internet address

Fingerprint

Dive into the research topics of 'Findings of the 2016 Conference on Machine Translation (WMT16)'. Together they form a unique fingerprint.

Cite this