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Implementing an efficient part-of-speech tagger

✍ Scribed by Johan Carlberger; Viggo Kann

Publisher: John Wiley and Sons
Year: 1999
Tongue: English
Weight: 131 KB
Volume: 29
Category: Article
ISSN: 0038-0644
DOI: 10.1002/(sici)1097-024x(19990725)29:9<815::aid-spe256>3.0.co;2-f

No coin nor oath required. For personal study only.

✦ Synopsis

An efficient implementation of a part-of-speech tagger for Swedish is described. The stochastic tagger uses a well-established Markov model of the language. The tagger tags 92 per cent of unknown words correctly and up to 97 per cent of all words. Several implementation and optimization considerations are discussed. The main contribution of this paper is the thorough description of the tagging algorithm and the addition of a number of improvements. The paper contains enough detail for the reader to construct a tagger for his own language.

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