Wide coverage parsing with stochastic attribute value grammars

Wide coverage parsing with stochastic attribute value grammars (2004)

by Robert Malouf

Venue:	In Proceedings of the IJCNLP-04 Workshop: Beyond
Citations:	56 - 5 self

Datum	Value	Source
TITLE	Wide coverage parsing with stochastic attribute value grammars	INFERENCE
AUTHOR NAME	Robert Malouf	SVM HeaderParse 0.2
AUTHOR AFFIL	Department of Linguistics; and Oriental Languages; San Diego State University	SVM HeaderParse 0.2
AUTHOR ADDR	San Diego, CA 92182-7727; USA	SVM HeaderParse 0.2
ABSTRACT	Stochastic Attribute Value Grammars (SAVG) provide an attractive framework for syntactic analysis, because they allow the combination of linguistic sophistication with a principled treatment of ambiguity. The paper introduces a widecoverage SAVG for Dutch, known as Alpino, and we show how this SAVG can be efficiently applied, using a beam search algorithm to recover parses from a shared parse forest. Unlike previous approaches, this algorithm does not place strict locality restrictions on the features used for disambiguation. Experimental results for a number of different corpora suggest that the SAVG framework is applicable for realistically sized grammars and corpora. 1	SVM HeaderParse 0.2
YEAR	2004	INFERENCE
VENUE	In Proceedings of the IJCNLP-04 Workshop: Beyond	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
CITATIONS	20 found	ParsCit 1.0