DRC: a dual route cascaded model of visual word recognition and reading aloud

Max Coltheart*, Kathleen Rastle, Conrad Perry, Robyn Langdon, Johannes Ziegler

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    2503 Citations (Scopus)

    Abstract

    This article describes the Dual Route Cascaded (DRC) model, a computational model of visual word recognition and reading aloud. The DRC is a computational realization of the dual-route theory of reading, and is the only computational model of reading that can perform the 2 tasks most commonly used to study reading: lexical decision and reading aloud. For both tasks, the authors show that a wide variety of variables that influence human latencies influence the DRC model's latencies in exactly the same way. The DRC model simulates a number of such effects that other computational models of reading do not, but there appear to be no effects that any other current computational model of reading can simulate but that the DRC model cannot. The authors conclude that the DRC model is the most successful of the existing computational models of reading.

    Original languageEnglish
    Pages (from-to)204-256
    Number of pages53
    JournalPsychological Review
    Volume108
    Issue number1
    Publication statusPublished - Jan 2001

    Fingerprint Dive into the research topics of 'DRC: a dual route cascaded model of visual word recognition and reading aloud'. Together they form a unique fingerprint.

    Cite this