Description

The 1st Workshop on Neural Machine Translation (https://sites.google.com/
site/acl17nmt/) is a new annual workshop that will be co-located with ACL
2017 (Vancouver, July 30-August 4, 2017). Neural Machine Translation (NMT)
is a simple new architecture for getting machines to learn to translate.
Despite being relatively recent, NMT has demonstrated promising results and
attracted much interest, achieving state-of-the-art results on a number of
shared tasks. This workshop aims to cultivate research in neural machine
translation and other aspects of machine translation and multilinguality
that utilize neural models. The workshop is broad in scope and invites
original research contributions on topics that include, but are not limited
to the following:


   -

   Incorporating linguistic insights: syntax, alignment, reordering, etc.
   -

   Combining NMT & SMT
   -

   Handling resource-limited domains
   -

   Utilizing more data in NMT: monolingual, multilingual resources
   -

   Multi-task learning for NMT
   -

   NMT for mobile devices
   -

   Analysis and visualization of NMT models
   -

   Beyond sentence-level translation
   -

   Beyond maximum-likelihood estimation
   -

   Neural Machine Generation

Submissions

We are soliciting submissions in three categories of papers: full workshop
submissions, extended abstracts, and cross-submissions. All submissions
will be made through Softconf (http://softconf.com/acl2017/nmt/).
Full Workshop Paper

Authors should submit a long paper of up to 8 pages, with up to 2
additional pages for references, following the ACL 2017 formatting
requirements (see the ACL 2017 Call For Papers for reference:
http://acl2017.org/calls/papers/). The reported research should be original
work. All papers will be presented as posters, and a few selected papers
may also be presented orally at the discretion of the committee. All
accepted papers will appear in the workshop proceedings, which will be
archived by the ACL Anthology (http://aclweb.org/anthology/).
Best Paper Awards

>From the submitted full workshop papers, between zero and two papers will
be selected for best paper awards at the discretion of the program
committee.
Extended Abstracts

Preliminary ideas or results may also be submitted as extended abstracts,
with a length of 2 to 4 pages plus references. Similarly to full papers,
these abstracts will follow the ACL formatting requirements, be submitted
through Softconf, and be reviewed by the program committee. Accepted
abstracts will be presented as posters, but not be included in the workshop
proceedings.
Cross-submissions

We also accept cross-submissions that have already been published or
presented in other venues for consideration as poster presentations, which
will allow authors who have presented at other venues to discuss with and
get feedback from NMT researchers. These submissions will not appear in the
proceedings, and there is no restriction on the format of the submissions
(in other words, it is OK to submit a paper from a different venue as-is).
The papers in this track will be submitted through softconf to the
cross-submission track and reviewed by the program committee.
Schedule

All Deadlines are 11:59 PM Pacific time.

   -

   Deadline for paper submission: Friday April 21, 2017
   -

   Notification of acceptance: Friday May 19, 2017
   -

   Camera ready submission due: Friday May 26, 2017
   -

   Early registration deadline (ACL'17): TBD
   -

   Workshop: August 3 or 4, 2017

Workshop Organizers

   -

   Alexandra Birch (Edinburgh)
   -

   Andrew Finch (NICT)
   -

   Thang Luong (Google)
   -

   Graham Neubig (CMU)


-- 

------------------------------------------------------------------------------------------
School of Informatics
University of Edinburgh
Phone  +44 (0)131 650-8286

--
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
_______________________________________________
Moses-support mailing list
[email protected]
http://mailman.mit.edu/mailman/listinfo/moses-support

Reply via email to