HeLI, a Word-Based Backoff Method for Language Identification

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Pysyväisosoite

http://hdl.handle.net/10138/174332

Lähdeviite

Jauhiainen , T S , Linden , B K J & Jauhiainen , H A 2016 , HeLI, a Word-Based Backoff Method for Language Identification . in Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects : VarDial3, Osaka, Japan, December 12 2016 . pp. 153-162 , Joint Workshop on Language Technology for Closely Related Languages, Varieties and Dialects , Osaka , Japan , 11/12/2016 . < https://www.aclweb.org/anthology/W16-4820.pdf >

Julkaisun nimi: HeLI, a Word-Based Backoff Method for Language Identification
Tekijä: Jauhiainen, Tommi Sakari; Linden, Bo Krister Johan; Jauhiainen, Heidi Annika
Tekijän organisaatio: Department of Modern Languages 2010-2017
Krister Linden / Research Group
Language Technology
Päiväys: 2016
Kieli: eng
Sivumäärä: 10
Kuuluu julkaisusarjaan: Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects
ISBN: 978-4-87974-716-7
URI: http://hdl.handle.net/10138/174332
Tiivistelmä: In this paper we describe the Helsinki language identification method, HeLI, and the resources we created for and used in the 3rd edition of the Discriminating between Similar Languages (DSL) shared task, which was organized as part of the VarDial 2016 workshop. The shared task comprised of a total of 8 tracks, of which we participated in 7. The shared task had a record number of participants, with 17 teams providing results for the closed track of the test set A. Our system reached the 2nd position in 4 tracks (A closed and open, B1 open and B2 open) and in this paper we are focusing on the methods and data used for those tracks. We describe our word-based back-off method in mathematical notation. We also describe how we selected the corpus we used in the open tracks.
Avainsanat: 6121 Languages
113 Computer and information sciences
Vertaisarvioitu: Kyllä
Tekijänoikeustiedot: cc_by
Pääsyrajoitteet: openAccess
Rinnakkaistallennettu versio: publishedVersion


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