Nefnir: A high accuracy lemmatizer for Icelandic

07/27/2019

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by   Svanhvít Lilja Ingólfsdóttir, et al.

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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 text tagged with a PoS tagger, the accuracy obtained is 96.88