Title | Part-of-Speech Tagging Using Parallel Weighted Finite-State Transducers |
Publication Type | Book Chapter |
Year of Publication | 2010 |
Authors | Silfverberg M, Lindén K |
Editor | Loftsson H, Rögnvaldsson E, Helgadóttir S |
Book Title | Advances in Natural Language Processing |
Series Title | Lecture Notes in Computer Science |
Volume | 6233 |
Pagination | 369-380 |
Publisher | Springer |
City | Berlin / Heidelberg |
ISBN | 978-3-642-14769-2 |
Keywords | markov model, part-of-speech tagging, weighted finite-state transducer |
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. |
DOI | 10.1007/978-3-642-14770-8_40 |
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