Learning computational grammars

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

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNpeer-review

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.
Original languageEnglish
Title of host publicationProceedings of CoNLL-2001: the fifth workshop on computational language learning
Place of PublicationToulouse, France
Pages0-0
Number of pages1
Publication statusPublished - 1 Jan 2001
EventProceedings of CoNLL-2001: the fifth workshop on computational language learning - Toulouse, France
Duration: 1 Jan 2001 → …

Workshop

WorkshopProceedings of CoNLL-2001: the fifth workshop on computational language learning
Period1/01/01 → …

Bibliographical note

© 2001 Association for Computational Linguistics

Keywords

  • Computational grammars

Fingerprint

Dive into the research topics of 'Learning computational grammars'. Together they form a unique fingerprint.

Cite this