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Related Experiment Videos

358,534 nonwords: the ARC Nonword Database.

Kathleen Rastle1, Jonathan Harrington, Max Coltheart

  • 1Macquarie University, Sydney, Australia. kathy.rastle@rhul.ac.uk

The Quarterly Journal of Experimental Psychology. A, Human Experimental Psychology
|November 8, 2002
PubMed
Summary
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Researchers developed a model of English syllable structure for a new online database of nonwords. This resource aids psycholinguistic research on reading by providing over 350,000 unique items.

Area of Science:

  • Psycholinguistics
  • Computational Linguistics
  • Phonetics and Phonology

Background:

  • Understanding phonotactic and orthographic constraints is crucial for psycholinguistic models of word recognition.
  • Existing resources may not adequately cover the diversity of monosyllabic nonwords needed for experimental research.

Purpose of the Study:

  • To present a computational model detailing the phonotactic and orthographic rules governing Australian and Standard Southern British English monosyllables.
  • To introduce the ARC Nonword Database, a web-based psycholinguistic resource derived from this model.

Main Methods:

  • Development of a computational model based on phonotactic and orthographic constraints.
  • Generation of a large corpus of monosyllabic nonwords, including pseudohomophones and non-pseudohomophonic items.

Related Experiment Videos

  • Creation of a searchable web-based database for accessing these nonwords.

    • Main Results:

    • The ARC Nonword Database contains 358,534 unique monosyllabic nonwords.
    • The database includes 48,534 pseudohomophones and 310,000 non-pseudohomophonic nonwords.
    • Nonwords can be selected based on various theoretically relevant linguistic properties.

    Conclusions:

    • The ARC Nonword Database provides a valuable, large-scale, and searchable resource for psycholinguistic investigations.
    • The database facilitates research into reading processes by offering controlled experimental stimuli.