Abstract

An effective procedure for automatically acquiring a new set of disambiguation rules for an existing deterministic parser on the basis of tagged text is presented. Performance of the automatically acquired rules is much better than the existing handwritten disambiguation rules. The success of the acquired rules depends on using the linguistic information encoded in the parser; enhancements to various components of the parser improves the acquired rule set. This work suggests a path toward more robust and comprehensive syntactic analyz- er8.

Citations

649	A stochastic parts program and noun phrase parser for unrestricted text - Church - 1988
272	A Theory of Syntactic Recognition for Natural Language - Marcus - 1980
168	Frequency Analysis of English Usage - Francis, Kucera - 1982
148	Grammatical category disambiguation by statistical optimization - DeRose - 1988
131	The acquisition of syntactic knowledge - Berwick - 1985
102	Deterministic parsing of syntactic non-fluencies - Hindle - 1983
99	DTheory: Talking about Talking about Trees - Marcus, Hindle, et al. - 1983
46	Automatic grammatical tagging of English - Greene, Rubin - 1971
33	A computational approach to grammatical coding of english words - Klein, Simmons - 1963
31	The Computational Analysis of English - Garside, Leech, et al. - 1987