Foundations of statistical natural language processing
Foundations of statistical natural language processing
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
Determining Type of TIL Construction with Verb Valency Analyser
SOFSEM '98 Proceedings of the 25th Conference on Current Trends in Theory and Practice of Informatics: Theory and Practice of Informatics
Implementation of Efficient and Portable Parser for Czech
TSD '99 Proceedings of the Second International Workshop on Text, Speech and Dialogue
Parsing strategies with 'lexicalized' grammars: application to tree adjoining grammars
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
How many dots are really needed for head-driven chart parsing?
SOFSEM'06 Proceedings of the 32nd conference on Current Trends in Theory and Practice of Computer Science
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In this paper we present the results of our work on an implementation of a fast head-driven chart parser for the Czech language and constructing the appropriate grammar covering all prevailing grammatical phenomena of Czech. We re-assume our previous work on syntactic analysis that was based on the GLR mechanism. We have extended our metagrammar formalism so as to reinforce the declarativeness of the linguistic description. With respect to the massive ambiguity of the grammar we have enriched the head-driven chart parsing mechanism with probabilities obtained from training tree-bank corpus.