Learning Stochastic Lexicalized Tree Grammars from HPSG (1999)
| Venue: | COMPUTERS AND MATHEMATICS WITH APPLICATIONS, PERGAMON PRESS |
| Citations: | 18 - 1 self |
BibTeX
@INPROCEEDINGS{Neumann99learningstochastic,
author = {Günter Neumann and Dan Flickinger},
title = {Learning Stochastic Lexicalized Tree Grammars from HPSG},
booktitle = {COMPUTERS AND MATHEMATICS WITH APPLICATIONS, PERGAMON PRESS},
year = {1999},
publisher = {}
}
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Abstract
We present a method for automatically extracting a Stochastic Lexicalized Tree Grammar (SLTG) from an HPSG source grammar and a given corpus. Processing of a SLTG is performed by a specialized fast parser. The approach has been tested on a large English grammar and has been shown to achieve a speed-up by a factor of better than 10 compared to parsing with a highly tuned HPSG parser. Our approach is simple and transparent, and comes with no magic tuning strategies. The extracted grammars are declaratively represented and have a high degree of practical applicability.
