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 |
| 巻 | 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
ASJC Scopus subject areas
- Experimental and Cognitive Psychology
- Psychology (miscellaneous)
- Psychology(all)
これを引用
Verb subcategorization frequencies : American English corpus data, methodological studies, and cross-corpus comparisons. / Gahl, Susanne; Jurafsky, Dan; Roland, Douglas William.
：: Behavior Research Methods, Instruments, and Computers, 巻 36, 番号 3, 01.01.2004, p. 432-443.研究成果: Review article
}
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 -