DocumentCode
827315
Title
Comparison of connectionist and traditional methods applied to phrase classification and grammaticality determination
Author
Wyard, P.J. ; Warren, N.P.
Author_Institution
Speech & Language Technol. Sect. British Telecom Labs., Ipswich, UK
Volume
139
Issue
6
fYear
1992
fDate
12/1/1992 12:00:00 AM
Firstpage
397
Lastpage
404
Abstract
Two sentence classification experiments are described. In the first, the neural net HODYNE (Higher Order Dynamic Topology Net) is shown to be better than a keyword method at classifying banking phrases. In the second, three techniques are compared at determining the grammaticality of strings of syntactic tags from the LOB (Lancaster Oslo Bergen) corpus: a method using the statistics of tag pairs. HODYNE, and a multilayer perception HODYNE and the statistical method perform significantly better than the MLP
Keywords
bank data processing; computational linguistics; natural languages; neural nets; pattern recognition; HODYNE; Higher Order Dynamic Topology Net; Lancaster Oslo Bergen corpus; MLP; banking phrases; grammaticality determination; keyword method; multilayer perception; neural net; phrase classification; sentence classification; statistical method; syntactic tags; tag pairs;
fLanguage
English
Journal_Title
Radar and Signal Processing, IEE Proceedings F
Publisher
iet
ISSN
0956-375X
Type
jour
Filename
180513
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