Deadline extension: Special issue of Acta Linguistica Hungarica on Computational Linguistics for Uralic Languages

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Eszter Simon

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Sep 22, 2016, 11:36:08 AM9/22/16
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***** Apologies for cross-posting *****

We are inviting submissions for a Special Issue of Acta Linguistica Hungarica, entitled “Computational Linguistics for Uralic Languages”.

CALL FOR PAPERS

The special issue is related to the Second International Workshop on Computational Linguistics for Uralic Languages (SIWCLUL). The workshop was held in Szeged, Hungary, on 20 January 2016, aiming to bring together researchers working on computational approaches to working with the following languages: Finnish, Hungarian, Estonian, Voru, Setu, the Sámi languages, Komi (Zyrian, Permyak), Mordvin (Erzya, Moksha), Mari (Hill, Meadow), Udmurt, Nenets (Tundra, Forest), Enets (Tundra, Forest), Nganasan, Selkup, Mansi, Khanty, Veps, Karelian, Ingrian (Izhorian), Votic, Livonian, Ludic, Kven and other related languages.

All Uralic languages exhibit rich morphological structure, which makes processing them challenging for state-of-the-art computational linguistic approaches, the majority also suffer from a lack of resources and many are endangered.

We invite submissions of articles describing work-in-progress systems, frameworks, standards and evaluation schemes. A natural candidate for this call is an extended paper from the workshop presentations (either oral or poster presentations) and tutorials. However, we do not limit the contributions to SIWCLUL-related works. Instead, other works presenting computational linguistics support for Uralic languages are also welcome.

Appropriate topics include (but are not limited to):

- Parsers, analysers and processing pipelines of Uralic languages.
- Lexical databases, electronic dictionaries.
- Finished end-user applications aimed at Uralic languages, such as spelling or grammar checkers, machine translation or speech processing.
- Evaluation methods and gold standards, tagged corpora, treebanks.
- Reports on language-independent or unsupervised methods as applied to Uralic languages.
- Surveys and review articles on subjects related to computational linguistics for one or more Uralic languages.
- Any work that aims at combining efforts and reducing duplication of work.
- How to elicit activity from the language community, agitation campaigns, games with a purpose.

To maximise the possibility of reproducibility, replication and reuse, we particularly encourage submissions which present free/open-source language resources and make use of free/open-source software.

One of the aims of this gathering is to avoid unnecessary duplicated work in field of Uralistics by establishing connections and interoperability standards between researchers and research groups working at different sites. We have also identified a serious lack of gold standards and evaluation metrics for all Uralic languages including those with national support, any work towards better resources in these fields will be greatly appreciated.

IMPORTANT DATES

Call for papers issued: 3 May 2016
Submissions due: 3 October 2016 -- new deadline: 10 October 2016
Author notification of acceptance: 3 March 2017
Final manuscripts submitted: 3 July 2017

SUBMISSION OF WORKS

To prepare the papers, please follow the style guidelines provided by the Acta Linguistica Hungarica journal.

To submit papers:
- Go to http://www.editorialmanager.com/aling/
- Register and login as an author.
- Follow the instructions and submit your paper.

GUEST EDITORS

- Eszter Simon – Research Institute for Linguistics, Hungarian Academy of Sciences (simon....@nytud.mta.hu)
- Veronika Vincze – MTA-SZTE Research group on Artificial Intelligence and University of Szeged (vin...@inf.u-szeged.hu)
- Tommi A Pirinen – Universität Hamburg (tommi.ante...@uni-hamburg.de)
- Francis Tyers – UiT Norgga árktalaš universtehta (franci...@uit.no)
--
ESZTER SIMON
Research Fellow
Research Institute for Linguistics
Hungarian Academy of Sciences
H-1068 Budapest, Benczúr u. 33.
Tel./Fax.       +36 1   321 4830/ 129
simon....@nytud.mta.hu
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