Atwell, E and Drakos, NF (1987) Pattern recognition applied to the acquisition of a grammatical classification system from unrestricted English text. In: Maegaard, B, (ed.) Proceedings of the Third Conference of the European Chapter of the Association for Computational Linguistics. Third Conference of the European Chapter of the Association for Computational Linguistics, 01-03 Apr 1987, University of Copenhagen, Denmark. The Association for Computational Linguistics , 56 - 62.
Abstract
Within computational linguistics, the use of statistical pattern matching is generally restricted to speech processing. We have attempted to apply statistical techniques to discover a grammatical classification system from a Corpus of 'raw' English text. A discovery procedure is simpler for a simpler language model; we assume a first-order Markov model, which (surprisingly) is shown elsewhere to be sufficient for practical applications. The extraction of the parameters of a standard Markov model is theoretically straightforward; however, the huge size of the standard model for a Natural Language renders it incomputable in reasonable time. We have explored various constrained models to reduce computation, which have yielded results of varying success.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | (c) ACL, 1987. Reproduced with permission from the publisher. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 Jan 2015 11:52 |
Last Modified: | 21 Feb 2024 13:37 |
Published Version: | http://aclweb.org/anthology-new/E/E87/ |
Status: | Published |
Publisher: | The Association for Computational Linguistics |
Identification Number: | 10.3115/976858.976868 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:82285 |