Abstract
In the paper, we present the results of an experiment with comparing the effectiveness of real text parsers of Czech language based on completely different approaches - stochastic parsers that provide dependency trees as their outputs and a meta-grammar parser that generates a resulting chart structure representing a packed forest of phrasal derivation trees. We describe and formulate main questions and problems accompanying such experiment, try to offer answers to these questions and finally display also factual results of the tests measured on 10 thousand Czech sentences. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Horák, A., Holan, T., Kadlec, V., & Kovář, V. (2007). Dependency and phrasal parsers of the czech language: A comparison. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4629 LNAI, pp. 76–84). Springer Verlag. https://doi.org/10.1007/978-3-540-74628-7_12
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