Abstract
This paper deals with the automatic discrimination of contexts of Czech ambiguous words. The Schütze’s methodology was used, modified and transformed for the Czech language. This algorithm is based on vector space and clustering. The semantic discrimination could be understood as a subtask of word sense disambiguation. In this approach, the sense of word is defined as the cluster of contexts of ambiguous word. We show that Schütze’s method is transportable into Czech. Our results are not as good as his because we have experimented with a highly ambiguous word.
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© 2002 Springer-Verlag Berlin Heidelberg
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Král, R. (2002). Word Sense Discrimination for Czech. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2002. Lecture Notes in Computer Science(), vol 2448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46154-X_21
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DOI: https://doi.org/10.1007/3-540-46154-X_21
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