Arabic-L:LING:Language Technology for Closely Related Languages and Language Variants (Qatar)

Dilworth Parkinson dilworthparkinson at GMAIL.COM
Thu Jun 5 22:51:55 UTC 2014


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Arabic-L: Thu 05 Jun 2014
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1) Subject: Language Technology for Closely Related Languages and Language
Variants (Qatar)

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1)
Date: 05 Jun 2014
From: reposted from LINGUIST
Subject: Language Technology for Closely Related Languages and Language
Variants (Qatar)

Date: Thu, 05 Jun 2014 12:26:41
From: Petya Osenova [petya at bultreebank.org]
Subject: Language Technology for Closely-Related Languages and Language
Variants

Full Title: Language Technology for Closely-Related Languages and Language
Variants
Short Title: LT4CloseLang

Date: 25-Oct-2014 - 29-Oct-2014
Location: Doha, Qatar
Contact Person: Petya Osenova
Meeting Email: petya at bultreebank.org
Web Site: http://emnlp2014.org/workshops/LT4CloseLang/call.html

Linguistic Field(s): Computational Linguistics

Call Deadline: 26-Jul-2014

Meeting Description:

Language Technology for Closely-Related Languages and Language Variants
Workshop associated with EMNLP 2014
25 or 29 October 2014, Doha, QATAR

http://emnlp2014.org/workshops/LT4CloseLang/call.html

Recent initiatives in language technology have lead to the development of
at least minimal language processing toolkits for all EU-official
languages, as well as for languages with a large number of speakers
worldwide such as Chinese and Arabic. This is a big step towards the
automatic processing and/or extraction of information, especially from
official documents and newspapers, where the standard, literary language is
used.

Apart from those official languages, a large number of dialects or
closely-related language variants are in daily use, not only as spoken
colloquial languages but also in written media and social networks. This
workshop intends to bring together specialists working on LT-Applications
dealing with various related language pairs, discuss novel approaches in
exploring language closeness, and raise attention on this particular topic.
A previous version of this workshop was organised at RANLP 2013 and showed
a great interest from  communities worldwide as well as the necessity for
further activities.

Call for Papers:

Motivation:

Building language resources and tools from scratch is expensive, but the
efforts can often be reduced by making use of pre-existing resources and
tools for related, resource-richer languages. Examples of language variants
include the different variants of Spanish in Latin America, the Arabic
dialects in North Africa and the Middle East, German in Germany, Austria
and Switzerland, French in France and in Belgium, Dutch in the Netherlands
and Flemish in Belgium, etc. Examples of pairs of related languages include
Swedish-Norwegian, Bulgarian-Macedonian, Serbian-Bosnian, Spanish-Catalan,
Russian-Ukrainian, Irish-Gaelic Scottish, Malay-Indonesian,
Turkish–Azerbaijani, Mandarin-Cantonese, Hindi–Urdu, and many others.

Submission:

We are looking for original unpublished work related (but not limited to)
following topics:

- Adaptation of monolingual tools for closely-related languages and
language variants
- Case studies of using language resources and tools for standard languages
on documents in language variants
- Machine translation among closely related languages
- Evaluation of language resources and tools for language variants and
close languages
- Linguistic issues in adaptation of language resources and tools (e.g.,
semantic discrepancies, lexical gaps, false friends)

Submission should be done using START:

https://www.softconf.com/emnlp2014/LT4CloseLang14

Papers should be up to 9 pages long and should follow the formatting
instructions for EMNLP'2014 under:

http://emnlp2014.org/submissions.html

Important Deadlines:

Submission deadline: July 26, 2014, 11:59 pm PST
Acceptance/rejection notification: August 26, 2014
Camera-ready deadline: September 12, 2014, 11:59 pm PST
Workshop: October 25 or 29, 2014

Organizing Committee:

Preslav Nakov, Qatar Computing Research Institute
Petya Osenova, Sofia University
Cristina Vertan, University of Hamburg

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