Related Experiment Video
Updated: Jul 29, 2026

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese
Published on: April 1, 2016
Verb subcategorization frequencies: American English corpus data, methodological studies, and cross-corpus
Susanne Gahl1, Dan Jurafsky, Douglas Roland
1University of Illinois at Urbana-Champaign, Urbana, Illinois, USA. gahl@icsi.berkeley.edu
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.
Related Concept Videos
Cross-Sectional Research
Relative Frequency Histogram
How Data are Classified: Categorical Data
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
Aggregates Classification
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
Types of Surveys
Typical Model Studies

