Part-of-Speech Tagging using Parallel Weighted Finite-State Transducers

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http://hdl.handle.net/10138/29357

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Silfverberg , M & Linden , K 2010 , Part-of-Speech Tagging using Parallel Weighted Finite-State Transducers . in Proceedings of IceTAL 2010 : 7th International Conference on Natural Language Processing . Reykjavik , IceTal - International Conference on Natural Language Processing , Reykjavik , Iceland , 16/08/2010 .

Title: Part-of-Speech Tagging using Parallel Weighted Finite-State Transducers
Author: Silfverberg, Miikka; Linden, Krister
Contributor: University of Helsinki, Department of Modern Languages 2010-2017
University of Helsinki, Department of Modern Languages 2010-2017
Date: 2010-08
Language: eng
Number of pages: 12
Belongs to series: Proceedings of IceTAL 2010 7th International Conference on Natural Language Processing
URI: http://hdl.handle.net/10138/29357
Abstract: We use parallel weighted finite-state transducers to implement a part-of-speech tagger, which obtains state-of-the-art accuracy when used to tag the Europarl corpora for Finnish, Swedish and English. Our system consists of a weighted lexicon and a guesser combined with a bigram model factored into two weighted transducers. We use both lemmas and tag sequences in the bigram model, which guarantees reliable bigram estimates.
Subject: 612 Languages and Literature
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