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Related Experiment Videos

Large-scale databases of proper names.

P Conley1, C Burgess, D Hage

  • 1Psychology Department, University of California, Riverside 92521-0426, USA. patrick@cassandra.ucr.edu

Behavior Research Methods, Instruments, & Computers : a Journal of the Psychonomic Society, Inc
|September 25, 1999
PubMed
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Researchers created two proper name corpora from phone books and Usenet data. Usenet name frequencies, not phone book data, predicted human reaction times, with semantic density being the best predictor.

Area of Science:

  • Cognitive Psychology
  • Computational Linguistics
  • Corpus Linguistics

Background:

  • Limited availability of large-scale proper name corpora hinders research.
  • Proper names are crucial linguistic units with unique processing characteristics.

Purpose of the Study:

  • To construct and validate novel corpora of proper names.
  • To investigate the predictive power of name frequency and semantic density on human processing.
  • To provide freely accessible resources for proper name research.

Main Methods:

  • Construction of two proper name corpora: one from U.S. phone book listings, another from Usenet text.
  • Comparison of name frequencies from both corpora with human reaction times (RTs) in a naming task.
  • Regression analysis to assess the predictive value of corpus frequencies on RTs.

Related Experiment Videos

  • Evaluation of semantic neighborhood density (from HAL corpus) as a predictor of RT.

    • Main Results:

    • Usenet name frequencies significantly predicted human RTs.
    • Phone book name frequencies did not significantly predict human RTs.
    • Semantic neighborhood density was a stronger predictor of human RTs than name frequency from either corpus.

    Conclusions:

    • Usenet data provides a more ecologically valid source for proper name frequency relevant to cognitive processing.
    • Semantic neighborhood density is a critical factor in the cognitive processing of proper names.
    • The developed corpora offer valuable, accessible resources for future research in psycholinguistics and natural language processing.