Publikation
Grammar Approximation as a Speed-Up Technique for Unification-Based Parsing
Hans-Ulrich Krieger
In: Henning Fernau (Hrsg.). Invited talks on Learning of Automata and Grammars at the Workshop on Theoretical Aspects of Grammar Induction (TAGI). Page 10, 2005.
Zusammenfassung
In this talk, I will present three techniques for obtaining fast
grammars from a given unification-based grammar (UBG).
The research is motivated by the idea that we can exploit
(large-scale), hand-written UBGs not only for the purpose of
describing natural language and obtaining a syntactic structure (and
perhaps a semantic form), but also to address several other very
practical topics.
Firstly, to speed up deep parsing by having a cheap recognition
pre-filter.
Secondly, to obtain an indirect stochastic parsing model for the
UBG.
Thirdly, to generate domain-specific subgrammars for real
applications.
And finally, to compile context-free language models for a speech
recognizer.