Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither

Reut Tsarfaty 1 Djamé Seddah 2, * Yoav Goldberg 3 Sandra Kubler 4 Yannick Versley 5 Marie Candito 2, * Jennifer Foster 6 Ines Rehbein 7 Lamia Tounsi 6
* Corresponding author
1 Uppsala University
2 ALPAGE - Analyse Linguistique Profonde à Grande Echelle ; Large-scale deep linguistic processing
Inria Paris-Rocquencourt, UPD7 - Université Paris Diderot - Paris 7
3 BGU - Ben-Gurion University of the Negev
4 IISc Bangalore - Indian Institute of Science [Bangalore]
5 SFB 833 - Emmy Noether Project
6 NCLT - National Centre for Language Technology
7 Allgemeine Linguistik - Allgemeine Linguistik Computational Linguistics and phonetics
Résumé : no abstract
Keywords : statistical parsing morphologically rich languages french arabic hebrew basque hindi german
Document type :
Conference papers
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Contributor : Kumar Guha <>
Submitted on : Tuesday, October 12, 2010 - 3:56:44 PM
Last modification on : Tuesday, May 14, 2019 - 1:50:22 PM

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Reut Tsarfaty, Djamé Seddah, Yoav Goldberg, Sandra Kubler, Yannick Versley, et al.. Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither. Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of Morphologically-Rich Languages, 2010, Los Angeles, United States. pp.1--12. ⟨inria-00525751⟩

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