Stagger: an Open-Source Part of Speech Tagger for Swedish
نویسندگان
چکیده
منابع مشابه
Stagger: A modern POS tagger for Swedish
The field of Part of Speech (POS) tagging has made slow but steady progress during the last decade, though many of the new methods developed have not previously been applied to Swedish. I present a new system, based on the Averaged Perceptron algorithm and semi-supervised learning, that is more accurate than previous Swedish POS taggers. Furthermore, a new version of the Stockholm-Umeå Corpus i...
متن کاملThe Open Source Tagger HunPoS for Swedish
HunPoS, a freely available open source part-of-speech tagger—a reimplementation of one of the best performing taggers, TnT—is applied to Swedish and evaluated when the tagger is trained on various sizes of training data. The tagger’s accuracy is compared to other data-driven taggers for Swedish. The results show that the tagging performance of HunPoS is as accurate as TnT and can be used effici...
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A b stract The Xerox Part-of-Speech Tagger (XPOST) claims to be practical. One aspect of practicality as defined here is reusability. Thus it is meant to be easy to port XPOST to a new language. To test this, XPOST was ported to Swedish. This port is described and evaluated. In previous work on part-of-speech tagging, a practical part-of-speech tagger was defined as one with the following set o...
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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% of unknown words correctly and up to 97% 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 th...
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ژورنال
عنوان ژورنال: Northern European Journal of Language Technology
سال: 2013
ISSN: 2000-1533
DOI: 10.3384/nejlt.2000-1533.1331