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Summary: Modular Architectures and Statistical Mechanisms: The
Case from Lexical Category Disambiguation1
Matthew W. Crocker
Computational Linguistics
Saarland University
D-66041 Saarbrücken, Germany
crocker@coli.uni-sb.de
Steffan Corley
Sharp Laboratories of Europe
Oxford Science Park
Oxford, U.K.
steffan@sharp.co.uk
Abstract
This paper reviews the modular, statistical model of human lexical category
disambiguation (SLCM) proposed by Corley and Crocker (2000). The SLCM is
distinct lexical category disambiguation mechanism within the human sentence
processor, which uses word-category frequencies and category bigram
frequencies for the initial resolution of category (part-of-speech) ambiguities.
The model has been shown to account for a range of existing experimental
findings in relatively diverse constructions. This paper presents the results of two
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