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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Using Wiktionary to Build an Italian Part-of-Speech Tagger
verfasst von : Tom De Smedt, Fabio Marfia, Matteo Matteucci, Walter Daelemans
Erschienen in: Natural Language Processing and Information Systems
Verlag: Springer International Publishing
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While there has been a lot of progress in Natural Language Processing (NLP), many basic resources are still missing for many languages, including Italian, especially resources that are free for both research and commercial use. One of these basic resources is a Part-of-Speech tagger, a first processing step in many NLP applications. We describe a weakly-supervised, fast, free and reasonably accurate part-of-speech tagger for the Italian language, created by mining words and their part-of-speech tags from Wiktionary. We have integrated the tagger in Pattern, a freely available Python toolkit. We believe that our approach is general enough to be applied to other languages as well.