Acquiring Lexical Generalizations from Corpora: A Case Study for Diathesis Alternations

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper examines the extent to which verb diathesis alternations are empirically attested in corpus data. We automatically acquire alternating verbs from large balanced corpora by using partial-parsing methods and taxonomic information, and discuss how corpus data can be used to quantify linguistic generalizations. We estimate the productivity of an alternation and the typicality of its members using type and token frequencies.
Original languageEnglish
Title of host publicationProceedings of the 37th Annual Meeting of the Association for Computational Linguistics
PublisherAssociation for Computational Linguistics
Pages397-404
Number of pages8
Publication statusPublished - 1999
Event37th Annual Meeting of the Association for Computational Linguistics - University of Maryland, College Park, Maryland, United States
Duration: 20 Jun 199926 Jun 1999

Conference

Conference37th Annual Meeting of the Association for Computational Linguistics
CountryUnited States
CityCollege Park, Maryland
Period20/06/9926/06/99

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