LRE Journal Special Issue: “Under-resourced Languages, Collaborative Approaches and Linked Open Data: Resources, Methods and Applications”
Second Call for Papers
(apologies for multiple postings)
SUBMISSION DATE: November 30, 2014
CALL FOR SUBMISSIONS 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?
SUBMISSION DETAILS Please submit your articles at http://www.editorialmanager.com/lrev/default.asp Make sure to select “S.I. : Under-resourced languages” when asked to provide the article type. For this special issue we only accept full papers that are typically 18-25 pages in length. Detailed format instructions are available here: http://www.springer.com/education+%26+language/linguistics/journal/10579?detailsPage=pltci_1060319
GUEST EDITORS 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)
SCIENTIFIC COMMITTEE 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, DERI, Ireland 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 -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 6754 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20141008/bcc5e7fb/attachment.txt>