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Improving Brill's PoS Tagger for an Agglutinative Language
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. datorlingvistik.ORCID iD: 0000-0002-4838-6518
1999 (English)In: Proceedings of the Joint Sigdat Conference on Empirical Methods in Natural Language Processing and Very Large Corpora: EMNLP/VLC '99, 1999, 275-284 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper Brill's rule-based PoS tagger is tested and adapted for Hungarian. It is shown that the present system does not obtain as high accuracy for Hungarian as it does for English (and other Germanic languages) because of the structural difference between these languages. Hungarian, unlike English, has rich morphology, is agglutinative with some inflectional characteristics and has fairly free word order. The tagger has the greatest difficulties with parts-of-speech belonging to open classes because of their complicated morphological structure. It is shown that the accuracy of tagging can be increased from approximately 83% to 97% by simply changing the rule generating mechanisms, namely the lexical templates in the lexical training module.

Place, publisher, year, edition, pages
1999. 275-284 p.
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:uu:diva-19669OAI: oai:DiVA.org:uu-19669DiVA: diva2:47441
Conference
Joint Sigdat Conference on Empirical Methods in Natural Language Processing and Very Large Corpora
Available from: 2006-11-30 Created: 2006-11-30 Last updated: 2017-01-25

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Megyesi, Beata

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