Can Corpus Pattern Analysis Be Used in NLP?

This publication doesn't include Faculty of Arts. It includes Faculty of Informatics. Official publication website can be found on muni.cz.

Authors

CINKOVÁ Silvie HOLUB Martin RYCHLÝ Pavel SMEJKALOVÁ Lenka ŠINDLEROVÁ Jana

Year of publication 2010
Type Article in Proceedings
Conference Text, Speech and Dialogue, 2010
MU Faculty or unit

Faculty of Informatics

Citation
Web http://www.springerlink.com/index/15G111T3P76196R5.pdf
Doi http://dx.doi.org/10.1007/978-3-642-15760-8_10
Field Linguistics
Keywords corpus; nlp; corpus pattern analysis
Description Corpus Pattern Analysis (CPA), coined and implemented by Hanks as the Pattern Dictionary of English Verbs (PDEV), appears to be the only deliberate and consistent implementation of Sinclair's concept of Lexical Item. In his theoretical inquiries Hanks hypothesizes that the pattern repository produced by CPA can also support the word sense disambiguation task. Although more than 670 verb entries have already been compiled in PDEV, no systematic evaluation of this ambitious project has been reported yet. Assuming that the Sinclairian concept of the Lexical Item is correct, we started to closely examine PDEV with its possible NLP application in mind. Our experiments presented in this paper have been performed on a pilot sample of English verbs to provide a first reliable view on whether humans can agree in assigning PDEV patterns to verbs in a corpus. As a conclusion we suggest procedures for future development of PDEV.
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