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Learning computational grammars

By John Nerbonne, Anja Belz, Nicola Cancedda, Herve Dejean, James Hammerton, Rob Koeling, Stasinos Konstantopoulos, Miles Osborne, Franck Thollard and Erik Tjong Kim Sang

Abstract

This paper reports on the LEARNING COMPUTATIONAL GRAMMARS (LCG) project, a postdoc network devoted to studying the application of machine learning techniques to grammars suitable for computational use. We were interested in a more systematic survey to understand the relevance of many factors to the success of learning, esp. the availability of annotated data, the kind of dependencies in the data, and the availability of knowledge bases(grammars). We focused on syntax, esp. noun phrase (NP) syntax

Topics: G700 Artificial Intelligence, Q100 Linguistics
Year: 2001
OAI identifier: oai:eprints.brighton.ac.uk:3209

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