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  VarClass: An open-source language identification tool for language varieties

Zampieri, M., & Gebre, B. G. (2014). VarClass: An open-source language identification tool for language varieties. In N. Calzolari, K. Choukri, T. Declerck, H. Loftsson, B. Maegaard, J. Mariani, et al. (Eds.), Proceedings of LREC 2014: 9th International Conference on Language Resources and Evaluation (pp. 3305-3308).

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 Creators:
Zampieri, Marcos1, Author
Gebre, Binyam Gebrekidan2, Author           
Affiliations:
1Saarland University, Saarbrücken, Germany, ou_persistent22              
2The Language Archive, MPI for Psycholinguistics, Max Planck Society, ou_530892              

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 Abstract: This paper presents VarClass, an open-source tool for language identification available both to be downloaded as well as through a graphical user-friendly interface. The main difference of VarClass in comparison to other state-of-the-art language identification tools is its focus on language varieties. General purpose language identification tools do not take language varieties into account and our work aims to fill this gap. VarClass currently contains language models for over 27 languages in which 10 of them are language varieties. We report an average performance of over 90.5% accuracy in a challenging dataset. More language models will be included in the upcoming months

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Language(s): eng - English
 Dates: 20142014
 Publication Status: Published online
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Title: LREC 2014: 9th International Conference on Language Resources and Evaluation
Place of Event: Reykjavik, Iceland
Start-/End Date: 2014-05-26 - 2014-05-31

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Title: Proceedings of LREC 2014: 9th International Conference on Language Resources and Evaluation
Source Genre: Proceedings
 Creator(s):
Calzolari, Nicoletta, Editor
Choukri, Khalid, Editor
Declerck, Thierry, Editor
Loftsson, Hrafn, Editor
Maegaard, Bente, Editor
Mariani, Joseph, Editor
Moreno, Asuncion, Editor
Odijk, Jan, Editor
Piperidis, Stelios, Editor
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3305 - 3308 Identifier: ISBN: 978-2-9517408-8-4