[Apologies for multiple postings]
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Workshop on Technologies for MT of Low Resource Languages (LoResMT 2018)
Boston, Massachusetts, March 21, 2018
https://sites.google.com/view/loresmt/
@ AMTA 2018 (http://www.conference.amtaweb.org/)
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SCOPES
Statistical and neural machine translation (SMT/NMT) methods have been
successfully used to build MT systems in many popular languages in the last
two decades with significant improvements on the quality of automatic
translation. However, these methods still rely upon a few natural language
processing (NLP) tools to help pre-process human generated texts in the
forms that are required as input for these methods, and/or post-process the
output in proper textual forms in target languages.
In many MT systems, the performance of these tools has great impacts on the
quality of resulting translation. However, there is not much discussion on
these NLP tools, their methods, their roles in different MT systems of
diverse methods, their coverage of support for the many languages in the
world, etc. In this workshop, we would like to bring together researchers
who work on these topics and help review/overview what are the most
important tasks we need from these tools for MT in the following years.
These NLP tools include, but not limited to, several kinds of word
tokenizers/de-tokenizers, word segmenters, morphology analysers, etc. In
this workshop, we solicit papers dedicated to these supplementary tools
that are used in any language and especially in low resource languages. We
would like to have an overview of these NLP tools from our community. The
evaluations of these tools in research papers should include how they have
improved the quality of MT output.
TOPICS
We solicit original research papers, review papers as well as position
papers on these tools in the workshop. Multilingual and/or Cross-lingual
NLP tools for MT of low resource languages are especially welcome. Topics
of the workshop include but not limited to
- Research and review papers of pre-process and/or post-process NLP tools
for MT
- Position papers on the development of pre-process and/or post-process
tools for MT
- Word tokenizers/de-tokenizers for specific languages
- Word/morpheme segmenters for specific languages
- Alignment/Re-ordering tools for specific language-pairs
- Use of morphology analysers and/or morpheme segmenters for MT
- Multilingual and/or Cross-lingual NLP tools for MT
- Reusability of existing NLP tools for low resource languages
- Corpora curation technologies for low resource languages
- Review of available parallel corpora for low resource languages
- Research and review papers of MT methods for low resource languages
- Fast building of MT systems for low resource languages
- Reusability of existing MT systems for low resource languages
IMPORTANT DATES
December 22, 2017: First call for papers
January 8, 2018: Second call for papers
February 4, 2018: Submission deadline of workshop papers
February 11, 2018: Notification of acceptance
February 16, 2018: Camera-ready papers due
March 21, 2018: LoResMT workshop
CONTACT
chaohong....@adaptcentre.ie
*Chao-Hong Liu* | Marie Skłodowska-Curie fellow (MSCA RISE)
ADAPT Centre
School of Computing m: +353 (0) 89 247 3035 <+353%2089%20247%203035>
Dublin City University e: chaohong....@adaptcentre.ie
Dublin 9, Ireland www.adaptcentre.ie
<https://twitter.com/adaptcentre>
<https://www.facebook.com/ADAPTCentre?fref=ts>
<https://www.youtube.com/channel/UC9--qVutTtyLyhZCJR7rY5g>
<https://www.linkedin.com/company/adapt-centre>
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