A computational model of language performance: Data Oriented Parsing

Authors:
Rens Bod
Affiliations:
University of Amsterdam, Amsterdam, The Netherlands
Venue:
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 3
Year:
1992

Citing 2
Cited 1

PRELIMINARY ANALYSIS OF A BREADTH-FIRST PARSING ALGORITHM: THEORETICAL AND EXPERIMENTAL RESULTS

PRELIMINARY ANALYSIS OF A BREADTH-FIRST PARSING ALGORITHM: THEORETICAL AND EXPERIMENTAL RESULTS
Pearl: a probabilistic chart parser

EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics

Computational complexity of probabilistic disambiguation by means of tree-grammars

COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

Data Oriented Parsing (DOP) is a model where no abstract rules, but language experiences in the form of an analyzed corpus, constitute the basis for language processing. Analyzing a new input means that the system attempts to find the most probable way to reconstruct the input out of fragments that already exist in the corpus. Disambiguation occurs as a side-effect DOP can be implemented by using conventional parsing strategies.