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<div class="moz-text-flowed" style="font-family: -moz-fixed;
font-size: 14px;" lang="x-unicode">LRE Journal Special Issue:
“Under-resourced Languages, Collaborative Approaches and Linked
Open Data: Resources, Methods and Applications”
<br>
<br>
Second Call for Papers
<br>
<br>
(apologies for multiple postings)
<br>
<br>
SUBMISSION DATE: November 30, 2014
<br>
<br>
CALL FOR SUBMISSIONS
<br>
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.
<br>
<br>
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.
<br>
<br>
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.
<br>
<br>
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.
<br>
<br>
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:
<br>
<br>
• How can collaborative approaches and technologies be fruitfully
applied to the accelerated development and sharing of high quality
resources for under-resourced languages?
<br>
<br>
• How can such resources be best stored, exposed and accessed by
end users and applications?
<br>
<br>
• How can small language resources be re-used efficiently and
effectively, reach larger audiences and be integrated into
applications?
<br>
<br>
• How can multilingual and cross-lingual interoperability of
language resources, methods and applications be supported, also
between languages that belong to different language families?
<br>
<br>
• How can existing language resource infrastructures be scaled to
thousands of languages?
<br>
<br>
• 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?
<br>
<br>
SUBMISSION DETAILS
<br>
Please submit your articles at <a class="moz-txt-link-freetext"
href="http://www.editorialmanager.com/lrev/default.asp">http://www.editorialmanager.com/lrev/default.asp</a>
<br>
Make sure to select “S.I. : Under-resourced languages” when asked
to provide the article type.
<br>
For this special issue we only accept full papers that are
typically 18-25 pages in length.
<br>
Detailed format instructions are available here: <a
class="moz-txt-link-freetext"
href="http://www.springer.com/education+%26+language/linguistics/journal/10579?detailsPage=pltci_1060319">http://www.springer.com/education+%26+language/linguistics/journal/10579?detailsPage=pltci_1060319</a>
<br>
<br>
GUEST EDITORS
<br>
Laurette Pretorius - University of South Africa, South Africa
(pretol AT unisa DOT ac DOT ac)
<br>
Claudia Soria - CNR-ILC, Italy (claudia.soria AT ilc DOT cnr DOT
it)
<br>
<br>
SCIENTIFIC COMMITTEE
<br>
Sabine Bartsch, Technische Universität Darmstadt, Germany
<br>
Delphine Bernhard, LILPA, Strasbourg University, France
<br>
Peter Bouda, CIDLeS - Interdisciplinary Centre for Social and
Language Documentation, Portugal
<br>
Paul Buitelaar, DERI, Ireland
<br>
Steve Cassidy, Macquarie University, Australia
<br>
Christian Chiarcos, Frankfurt University, Germany
<br>
Philipp Cimiano, Bielefeld University, Germany
<br>
Thierry Declerck, DFKI GmbH, Language Technology Lab, Germany
<br>
Mikel Forcada, University of Alicante, Spain
<br>
Dafydd Gibbon, Bielefeld University, Germany
<br>
Yoshihiko Hayashi, Graduate School of Language and Culture, Osaka
University, Japan
<br>
Sebastian Hellmann, Leipzig University, Germany
<br>
Simon Krek, Jo¸ef Stefan Institute, Slovenia
<br>
Tobias Kuhn, ETH, Zurich, Switzerland
<br>
Joseph Mariani, LIMSI-CNRS & IMMI, France
<br>
John McCrae, Bielefeld University, Germany
<br>
Steven Moran, Universität Zürich, Switzerland
<br>
Kellen Parker, National Tsing Hua University, China
<br>
Patrick Paroubek, LIMSI-CNRS, France
<br>
Taher Pilehvar, “La Sapienza” Rome University, Italy
<br>
Maria Pilar Perea i Sabater, Universitat de Barcelona, Spain
<br>
Laurette Pretorius, University of South Africa, South Africa
<br>
Leonel Ruiz Miyares, Centro de Linguistica Aplicada (CLA), Cuba
<br>
Kevin Scannell, St. Louis University, USA
<br>
Ulrich Schäfer, Technical University of Applied Sciences
Amberg-Weiden, Bavaria, Germany
<br>
Claudia Soria, CNR-ILC, Italy
<br>
Nick Thieberger, University of Melbourne, Australia
<br>
Eveline Wandl-Vogt, Austrian Academy of Sciences, ICLTT, Austria
<br>
Michael Zock, LIF-CNRS, France
<br>
<br>
<div class="moz-txt-sig"><span class="moz-txt-tag">-- <br>
</span>Claudia Soria
<br>
<br>
Researcher
<br>
Istituto di Linguistica Computazionale "A.Zampolli"
<br>
Consiglio Nazionale delle Ricerche
<br>
Area della Ricerca di Pisa San Cataldo
<br>
Via G. Moruzzi 1 - 56124 PISA (Italy)
<br>
<br>
phone: +39-050-315-3166
<br>
fax: +39-050-315-2839
<br>
<br>
</div>
</div>
<pre class="moz-signature" cols="72">--
Claudia Soria
Researcher
Istituto di Linguistica Computazionale "A.Zampolli"
Consiglio Nazionale delle Ricerche
Area della Ricerca di Pisa San Cataldo
Via G. Moruzzi 1 - 56124 PISA (Italy)
phone: +39-050-315-3166
fax: +39-050-315-2839
</pre>
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