2004
DOI: 10.3758/bf03195591
|View full text |Cite
|
Sign up to set email alerts
|

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 … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
61
0

Year Published

2006
2006
2021
2021

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 60 publications
(62 citation statements)
references
References 36 publications
(57 reference statements)
1
61
0
Order By: Relevance
“…For example, try tends to occur with a non-finite clausal complement (e.g., try to fix the car), and report tends to occur with a finite clausal complement (e.g., report that the battle was over). These differences are glossed over in computing overall transitivity preference, both in our own experiment and, frequently, in others in which verb transitivity bias is studied (see Gahl et al, 2004, for discussion of related issues). We acknowledge that these differences may be relevant to the comprehension of heavy NP shift; Stallings et al (1998) present evidence that they play a role in the production of heavy NP shift.…”
Section: Methodsmentioning
confidence: 85%
See 2 more Smart Citations
“…For example, try tends to occur with a non-finite clausal complement (e.g., try to fix the car), and report tends to occur with a finite clausal complement (e.g., report that the battle was over). These differences are glossed over in computing overall transitivity preference, both in our own experiment and, frequently, in others in which verb transitivity bias is studied (see Gahl et al, 2004, for discussion of related issues). We acknowledge that these differences may be relevant to the comprehension of heavy NP shift; Stallings et al (1998) present evidence that they play a role in the production of heavy NP shift.…”
Section: Methodsmentioning
confidence: 85%
“…These 12 verbs appeared in both the Connine, Ferreira, Jones, Clifton, and Frazier (1984) production norms and the Gahl, Jurafsky, and Roland (2004) corpus-based norms. We calculated the transitivity bias of each verb as the mean of the scores obtained from these two sources, using scoring categories that were common to both sets of norms.…”
Section: Methodsmentioning
confidence: 98%
See 1 more Smart Citation
“…For those items in which the initial verb did allow a direct object in principle, the critical verb also tended to be intransitive-biased. Nine of these verbs appear in the corpus-based norms collected by Gahl, Jurafsky, and Roland (2004) or the production norms collected by Connine, Ferreira, Jones, Clifton, & Frazier (1984) or Pickering and Traxler (2003), and based on these sources, they have a mean probability of appearing with a direct object of .09, ranging from 0 to .23.…”
Section: Methodsmentioning
confidence: 99%
“…The impact of a writing system's grapho-phonological characteristics on reading and writing performance led several investigators to make use of published wordfrequency counts to derive new sets of computations geared to specialized research (e.g., Berndt, D'Autrechy, & Reggia, 1994;De Cara & Goswami, 2002;Gahl, Jurafsky, & Roland, 2004;Jones & Mewhort, 2004;Kessler & Treiman, 1997;Novick & Sherman, 2004;Peereman & Content, 1999;Stanback, 1992;Tamaoka & Makioka, 2004). Unfortunately, there are very few quantitative descriptions of the orthographic and phonological properties of French words that are suitable for studying literacy acquisition.…”
Section: Lexical Databases For the Study Of Literacy Acquisitionmentioning
confidence: 99%