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.
This work has been partly supported by the Academy of Sciences of Czech Republic under the projects T100300414, T100300419 and 1ET100300517 and by the Ministry of Education of CR within the Center of basic research LC536 and by the Czech Science Foundation under the project 201/05/2781.
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Horák, A., Holan, T., Kadlec, V., Kovář, V. (2007). Dependency and Phrasal Parsers of the Czech Language: A Comparison. In: Matoušek, V., Mautner, P. (eds) Text, Speech and Dialogue. TSD 2007. Lecture Notes in Computer Science(), vol 4629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74628-7_12
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DOI: https://doi.org/10.1007/978-3-540-74628-7_12
Publisher Name: Springer, Berlin, Heidelberg
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