Abstract
We describe a part-of-speech tagging system specially designed to tag Spanish texts using small linguistic resources. Nevertheless, the tagger obtains encouraging results. We have found and exploited useful contextual parameters to tag ambiguous and unknown words. Our tagger is mainly supported by word lists and one corpus with around 104 words. The system has been tested for texts of the so called “news” genre and is still on continuous development.
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Jiménez, H., Morales, G. (2002). Sepe: A POS Tagger for Spanish. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2002. Lecture Notes in Computer Science, vol 2276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45715-1_23
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DOI: https://doi.org/10.1007/3-540-45715-1_23
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