Paper: Acquiring Lexical Generalizations From Corpora: A Case Study For Diathesis Alternations

ACL ID P99-1051
Title Acquiring Lexical Generalizations From Corpora: A Case Study For Diathesis Alternations
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1999
Authors

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 lin- guistic generalizations. We estimate the productiv- ity of an alternation and the typicality of its mem- bers using type and token frequencies.