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Corpus-Based Linguistic Indicators for Aspectual Classification

Siegel, Eric V.

Fourteen indicators that measure the frequency of lexico-syntactic phenomena linguistically related to aspectual class are applied to aspectual classification. This group of indicators is shown to improve classification performance for two aspectual distinctions, stativity and com- pletedness (i.e., tellcity), over unrestricted sets of verbs from two corpora. Several of these indicators have not previously been discovered to correlate with aspect.

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More About This Work

Academic Units
Computer Science
Publisher
Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics
Published Here
May 3, 2013