Verb subcategorization frequencies: American English corpus data, methodological studies, and cross-corpus comparisons

Susanne Gahl, Dan Jurafsky, Douglas William Roland

研究成果: Review article

32 引用 (Scopus)

抄録

Verb subcategorization frequencies (verb biases) have been widely studied in psycholinguistics and play an important role in human sentence processing. Yet available resources on subcategorization frequencies suffer from limited coverage, limited ecological validity, and divergent coding criteria. Prior estimates of verb transitivity, for example, vary widely with corpus size, coverage, and coding criteria. This article provides norming data for 281 verbs of interest to psycholinguistic research, sampled from a corpus of American English, along with a detailed coding manual. We examine the effect on transitivity bias of various coding decisions and methods of computing verb biases.

元の言語English
ページ(範囲)432-443
ページ数12
ジャーナルBehavior Research Methods, Instruments, and Computers
36
発行部数3
DOI
出版物ステータスPublished - 2004 1 1
外部発表Yes

Fingerprint

Psycholinguistics
Research
American English
Subcategorization
Corpus Data
Verbs
Transitivity

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Psychology (miscellaneous)
  • Psychology(all)

これを引用

@article{9add1a86c619488fb968d3dbfe8a4f47,
title = "Verb subcategorization frequencies: American English corpus data, methodological studies, and cross-corpus comparisons",
abstract = "Verb subcategorization frequencies (verb biases) have been widely studied in psycholinguistics and play an important role in human sentence processing. Yet available resources on subcategorization frequencies suffer from limited coverage, limited ecological validity, and divergent coding criteria. Prior estimates of verb transitivity, for example, vary widely with corpus size, coverage, and coding criteria. This article provides norming data for 281 verbs of interest to psycholinguistic research, sampled from a corpus of American English, along with a detailed coding manual. We examine the effect on transitivity bias of various coding decisions and methods of computing verb biases.",
author = "Susanne Gahl and Dan Jurafsky and Roland, {Douglas William}",
year = "2004",
month = "1",
day = "1",
doi = "10.3758/BF03195591",
language = "English",
volume = "36",
pages = "432--443",
journal = "Behavior Research Methods",
issn = "1554-351X",
publisher = "Springer New York",
number = "3",

}

TY - JOUR

T1 - Verb subcategorization frequencies

T2 - American English corpus data, methodological studies, and cross-corpus comparisons

AU - Gahl, Susanne

AU - Jurafsky, Dan

AU - Roland, Douglas William

PY - 2004/1/1

Y1 - 2004/1/1

N2 - Verb subcategorization frequencies (verb biases) have been widely studied in psycholinguistics and play an important role in human sentence processing. Yet available resources on subcategorization frequencies suffer from limited coverage, limited ecological validity, and divergent coding criteria. Prior estimates of verb transitivity, for example, vary widely with corpus size, coverage, and coding criteria. This article provides norming data for 281 verbs of interest to psycholinguistic research, sampled from a corpus of American English, along with a detailed coding manual. We examine the effect on transitivity bias of various coding decisions and methods of computing verb biases.

AB - Verb subcategorization frequencies (verb biases) have been widely studied in psycholinguistics and play an important role in human sentence processing. Yet available resources on subcategorization frequencies suffer from limited coverage, limited ecological validity, and divergent coding criteria. Prior estimates of verb transitivity, for example, vary widely with corpus size, coverage, and coding criteria. This article provides norming data for 281 verbs of interest to psycholinguistic research, sampled from a corpus of American English, along with a detailed coding manual. We examine the effect on transitivity bias of various coding decisions and methods of computing verb biases.

UR - http://www.scopus.com/inward/record.url?scp=12344286372&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=12344286372&partnerID=8YFLogxK

U2 - 10.3758/BF03195591

DO - 10.3758/BF03195591

M3 - Review article

C2 - 15641433

AN - SCOPUS:12344286372

VL - 36

SP - 432

EP - 443

JO - Behavior Research Methods

JF - Behavior Research Methods

SN - 1554-351X

IS - 3

ER -