EMNLP 2020 FiFTH CONFERENCE ON MACHINE TRANSLATION (WMT20)

November 19-20th, Online

http://www.statmt.org/wmt20


*** CALL FOR PAPERS ***

We invite the submission of 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


SHARED TASKS

There are several MT-related shared tasks associated with the workshop. These include several translation tasks, automatic post-editing, lifelong learning, automatic evaluation, targeted evaluation (test suites) and quality estimation. See the conference website for more details, and subscribe to the mailing list (https://groups.google.com/forum/#!forum/wmt-tasks)

PAPER SUBMISSION INFORMATION

Submissions will consist of full research papersĀ  of 6-10 pages, plus
additional pages for references, formatted following the EMNLP 2020
guidelines. In addition, shared task participants will be invited to
submit short papers (suggested length 4-6 pages) describing their
systems or their evaluation metrics. Both submission and review processes
will be handled electronically.

We encourage individuals who are submitting research papers to
evaluate their approaches using the training resources provided by
this workshop and past workshops, so that their experiments can be
repeated by others using these publicly available corpora.

IMPORTANT DATES

Paper submissions:

Paper submission deadline: August 15th, 2020
Notification of acceptance: September 29th, 2020
Camera-ready deadline: October 10th, 2020
Online conference: November 19-20th, 2020



Barry Haddow
(On behalf of the organisers)

The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
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