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

Maria Lapata

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

School of Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics
Publisher	Association for Computational Linguistics
Pages	397-404
Number of pages	8
Publication status	Published - 1999
Event	37th Annual Meeting of the Association for Computational Linguistics - University of Maryland, College Park, Maryland, United States Duration: 20 Jun 1999 → 26 Jun 1999

Conference

Conference	37th Annual Meeting of the Association for Computational Linguistics
Country	United States
City	College Park, Maryland
Period	20/06/99 → 26/06/99

Access to Document

P99-1051Final published version, 753 KB

http://aclweb.org/anthology/P99-1051

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Cite this

@inproceedings{1f7bf187ca104f9cb2b20a6555112714,

title = "Acquiring Lexical Generalizations from Corpora: A Case Study for Diathesis Alternations",

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.",

author = "Maria Lapata",

year = "1999",

language = "English",

pages = "397--404",

booktitle = "Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics",

publisher = "Association for Computational Linguistics",

note = "37th Annual Meeting of the Association for Computational Linguistics ; Conference date: 20-06-1999 Through 26-06-1999",

}

Lapata, M 1999, Acquiring Lexical Generalizations from Corpora: A Case Study for Diathesis Alternations. in Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, pp. 397-404, 37th Annual Meeting of the Association for Computational Linguistics, College Park, Maryland, United States, 20/06/99. <http://aclweb.org/anthology/P99-1051>

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T1 - Acquiring Lexical Generalizations from Corpora: A Case Study for Diathesis Alternations

AU - Lapata, Maria

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

M3 - Conference contribution

SP - 397

EP - 404

BT - Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics

PB - Association for Computational Linguistics

T2 - 37th Annual Meeting of the Association for Computational Linguistics

Y2 - 20 June 1999 through 26 June 1999

ER -