Enhancing Best Analysis Selection and Parser Comparison
TSD '02 Proceedings of the 5th International Conference on Text, Speech and Dialogue
A test of the leaf-ancestor metric for parse accuracy
Natural Language Engineering
A statistical parser for Czech
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Best analysis selection in inflectional languages
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Graph transformations in data-driven dependency parsing
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Discriminative learning and spanning tree algorithms for dependency parsing
Discriminative learning and spanning tree algorithms for dependency parsing
New meta-grammar constructs in czech language parser synt
TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue
Combining czech dependency parsers
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
Syntactic analysis using finite patterns: a new parsing system for Czech
LTC'09 Proceedings of the 4th conference on Human language technology: challenges for computer science and linguistics
Effective parsing using competing CFG rules
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
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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.