Lapata, Maria. 1999. Acquiring Lexical Generalizations from Corpora: A Case Study for Diathesis Alternation. In Proceedings of the 37th Meeting of the Association for Computational Linguistics, 266-274. College Park, MD.
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.
@InProceedings{Lapata:99a,
author = {Maria Lapata},
title = {Acquiring Lexical Generalizations from Corpora:
A Case Study for Diathesis Alternations},
crossref = {ACL:99},
pages = {397--404}
}
@Proceedings{ACL:99,
key = {ACL},
title = {Proceedings of the 37th Meeting of the North
American Chapter of the Association},
booktitle = {Proceedings of the 37th Meeting of the North
American Chapter of the Association},
address = {College Park, MD},
year = 1999
}