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[ontolog-forum] Deadline extension - LRE Journal Special Issue: “Under-r

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Cc: claudia.soria@xxxxxxxxxx
From: Laurette Pretorius <laurette.lists@xxxxxxxxx>
Date: Mon, 24 Nov 2014 16:25:18 +0200
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LRE Journal Special Issue: “Under-resourced Languages, Collaborative
Approaches and Linked Open Data: Resources, Methods and Applications”

Final Call for Papers

CfP URL:http://www.ilc.cnr.it/ccurl2014/LRE-Journal_Special-Issue_Final-Call-for-Papers.pdf

*NEW SUBMISSION DATE*: December 15, 2014

Please submit your articles
Make sure to select “S.I. : Under-resourced languages” when asked to
provide the article type.
For this special issue we invite full papers that are typically 18-25
pages in length.
Detailed format instructions are available

Preliminary decisions to authors: March 30, 2015
Submission of revised manuscripts: May 31, 2015
Final decisions to authors: October 15, 2015
Final versions from authors: December 1, 2015

Laurette Pretorius - University of South Africa, South Africa (pretol AT
unisa DOT ac DOT ac)
Claudia Soria - CNR-ILC, Italy (claudia.soria AT ilc DOT cnr DOT it)

Under-resourced languages are generally described as languages that
suffer from a chronic lack of available resources, from human,
financial, and time resources to linguistic ones (language data and
language technology), and often also experience the fragmentation of
efforts in resource development. This situation is exacerbated by the
realization that as technology progresses and the demand for localised
languages services over digital devices increases, the divide between
adequately- and under-resourced languages keeps widening. Given that
most of the world’s almost 7000 languages are not adequately resourced,
much work needs to be done in order to support their existence in the
digital age.

Although the destiny of a language is primarily determined by its native
speakers and broader cultural context, the technological development of
an under-resourced language offers such a language a strategic
opportunity to have the same “digital dignity”, “digital identity” and
“digital longevity” as large, well-developed languages on the Web.

The Linked (Open) Data framework and the emerging Linguistic Linked
(Open) Data infrastructure offer novel opportunities for under-resourced
languages. On the one hand, Linked Data offers ways of exposing existing
high quality, albeit small, language resources in the Semantic Web and,
on the other hand, allows for the development of new state-of-the-art
resources without necessarily having to rely on the availability of
sophisticated language processing support.

This special issue arises from the imperative to maintain cultural and
language diversity and from the basic right of all communities,
languages, and cultures to be “first class citizens” in an age driven by
information, knowledge and understanding. In this spirit, this special
issue focuses on three strategic approaches to augment the development
of resources for under-resourced languages to achieve a level
potentially comparable to well-resourced, technologically advanced
languages, viz. a) using the crowd and collaborative platforms; b) using
technologies of interoperability with well-developed languages; and c)
using Semantic Web technologies and, more specifically, Linked Data.

We invite original contributions, not published before and not under
consideration for publication elsewhere, that address one or more of the
following questions by means of one or more of the three approaches
mentioned above:

• How can collaborative approaches and technologies be fruitfully
applied to the accelerated development and sharing of high quality
resources for under-resourced languages?

• How can such resources be best stored, exposed and accessed by end
users and applications?

• How can small language resources be re-used efficiently and
effectively, reach larger audiences and be integrated into applications?

• How can multilingual and cross-lingual interoperability of language
resources, methods and applications be supported, also between languages
that belong to different language families?

• How can existing language resource infrastructures be scaled to
thousands of languages?

• How can research on and resource development for under-resourced
languages benefit from current advances in semantic and semantic web
technologies, and specifically the Linked Data framework?

Sabine Bartsch, Technische Universität Darmstadt, Germany
Delphine Bernhard, LILPA, Strasbourg University, France
Peter Bouda, CIDLeS - Interdisciplinary Centre for Social and Language
Documentation, Portugal
Paul Buitelaar, Insight, National University of Ireland, Galway
Steve Cassidy, Macquarie University, Australia
Christian Chiarcos, Frankfurt University, Germany
Philipp Cimiano, Bielefeld University, Germany
Thierry Declerck, DFKI GmbH, Language Technology Lab, Germany
Mikel Forcada, University of Alicante, Spain
Dafydd Gibbon, Bielefeld University, Germany
Yoshihiko Hayashi, Graduate School of Language and Culture, Osaka
University, Japan
Sebastian Hellmann, Leipzig University, Germany
Simon Krek, Jožef Stefan Institute, Slovenia
Tobias Kuhn, ETH, Zurich, Switzerland
Joseph Mariani, LIMSI-CNRS & IMMI, France
John McCrae, Bielefeld University, Germany
Steven Moran, Universität Zürich, Switzerland
Kellen Parker, National Tsing Hua University, China
Patrick Paroubek, LIMSI-CNRS, France
Taher Pilehvar, “La Sapienza” Rome University, Italy
Maria Pilar Perea i Sabater, Universitat de Barcelona, Spain
Laurette Pretorius, University of South Africa, South Africa
Leonel Ruiz Miyares, Centro de Linguistica Aplicada (CLA), Cuba
Kevin Scannell, St. Louis University, USA
Ulrich Schäfer, Technical University of Applied Sciences Amberg-Weiden,
Bavaria, Germany
Claudia Soria, CNR-ILC, Italy
Nick Thieberger, University of Melbourne, Australia
Eveline Wandl-Vogt, Austrian Academy of Sciences, ICLTT, Austria
Michael Zock, LIF-CNRS, France

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