Conference article

Optimizing a PoS Tagset for Norwegian Dependency Parsing

Petter Hohle
Department of Informatics, University of Oslo, Norway

Lilja Øvrelid
Department of Informatics, University of Oslo, Norway

Erik Velldal
Department of Informatics, University of Oslo, Norway

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Published in: Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden

Linköping Electronic Conference Proceedings 131:17, p. 142-151

NEALT Proceedings Series 29:17, p. 142-151

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Published: 2017-05-08

ISBN: 978-91-7685-601-7

ISSN: 1650-3686 (print), 1650-3740 (online)


This paper reports on a suite of experiments that evaluates how the linguistic granularity of part-of-speech tagsets impacts the performance of tagging and syntactic dependency parsing. Our results show that parsing accuracy can be significantly improved by introducing more finegrained morphological information in the tagset, even if tagger accuracy is compromised. Our taggers and parsers are trained and tested using the annotations of the Norwegian Dependency Treebank.


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