Related Experiment Video
Updated: Aug 4, 2026

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese
Published on: April 1, 2016
Distributional typicality: a new approach to estimating noun and verb usage from large scale text corpora
C Chiarello1, C Shears, K Lund
1University of California, Riverside, USA.
Abstract:
This paper reports a new approach to estimating the extent to which words have predominant noun and verb usages which do not require human judgments about parts of speech. The Hyperspace Analog to Language model (HAL, Lund & Burgess, 1996) was used to computationally estimate noun vs verb usage based on the statistical regularities present in a large-scale electronic text corpus. This measure can be used to estimate the extent to which a given word occurs in typical noun or verb sentence contexts (i.e., its distributional typicality) in informal contemporary discourse.
More Related Videos
06:33Decomposing the Variance in Reading Comprehension to Reveal the Unique and Common Effects of Language and Decoding
Published on: October 11, 2018
06:48Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
Published on: June 25, 2019
Related Concept Videos
Relative Frequency Histogram
Relative Frequency Distribution
Uniform Distribution
Distributions to Estimate Population Parameter
Choosing Between z and t Distribution
Lateralization