Steinþór Steingrímsson
The Árni Magnússon, Institute for Icelandic Studies, Reykjavík, Iceland
Sigrún Helgadóttir
The Árni Magnússon, Institute for Icelandic Studies, Reykjavík, Iceland
Eirikur Rögnvaldsson
University of Iceland, Reykjavík, Iceland
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Ingår i: Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania
Linköping Electronic Conference Proceedings 109:38, s. 287-291
NEALT Proceedings Series 23:38, p. 287-291
Publicerad: 2015-05-06
ISBN: 978-91-7519-098-3
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
This paper describes work in progress. We experiment with training a state-of-the-art tagger, Stagger, on a new gold standard, MIM-GOLD, for the PoS tagging of Icelandic. We compare the results to results obtained using a previous gold standard, IFD. Using MIM-GOLD, tagging accuracy is considerably lower, 92.76% compared to 93.67% accuracy for IFD. We analyze and classify the errors made by the tagger in order to explain this difference. We find that inconsistencies and incorrect tags in MIM-GOLD may account for this difference.
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