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Old Age
Nefnir: A high accuracy lemmatizer for Icelandic
July 27, 2019 ยท Declared Dead ยท ๐ Nordic Conference of Computational Linguistics
"No code URL or promise found in abstract"
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Authors
Svanhvรญt Lilja Ingรณlfsdรณttir, Hrafn Loftsson, Jรณn Friรฐrik Daรฐason, Kristรญn Bjarnadรณttir
arXiv ID
1907.11907
Category
cs.CL: Computation & Language
Citations
27
Venue
Nordic Conference of Computational Linguistics
Last Checked
4 months ago
Abstract
Lemmatization, finding the basic morphological form of a word in a corpus, is an important step in many natural language processing tasks when working with morphologically rich languages. We describe and evaluate Nefnir, a new open source lemmatizer for Icelandic. Nefnir uses suffix substitution rules, derived from a large morphological database, to lemmatize tagged text. Evaluation shows that for correctly tagged text, Nefnir obtains an accuracy of 99.55%, and for text tagged with a PoS tagger, the accuracy obtained is 96.88%.
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