Corpus-Based Linguistic Indicators for Aspectual Classification

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 completedness (i.e., telicity), over unrestricted sets of verbs from two corpora. Several of these indicators have not previously been discovered to correlate with aspect.

• Publication year

  1999

• Venue

  Annual Meeting of the Association for Computational Linguistics

• Publication date

  1999-06-20

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.3115/1034678.1034704
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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