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Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
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Discrimination in lexical decision.

Petar Milin1, Laurie Beth Feldman2, Michael Ramscar3

  • 1Department of Journalism Studies, The University of Sheffield, Sheffield, United Kingdom.

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|February 25, 2017
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Summary
This summary is machine-generated.

New language processing measures from Naive Discriminative Learning (NDL) theory outperform traditional methods in predicting lexical decision times. This research offers a novel approach to understanding word recognition and reading proficiency.

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Area of Science:

  • Psycholinguistics
  • Cognitive Science
  • Computational Linguistics

Background:

  • Lexical decision tasks are crucial for understanding word recognition.
  • Classical measures like frequency and form similarity have limitations in predicting response times.
  • Naive Discriminative Learning (NDL) theory offers an alternative framework for language processing.

Purpose of the Study:

  • To introduce novel discrimination-based indicators for language processing derived from NDL theory.
  • To compare the predictive power of these new measures against traditional lexical-distributional measures.
  • To investigate the role of morphological segmentation in masked priming using lexical decision tasks.

Main Methods:

  • Re-analysis of a large dataset from the English Lexicon Project.
  • Conducting two new masked priming studies utilizing lexical decision tasks.
  • Comparing discrimination-based predictors with frequency and form similarity measures.

Main Results:

  • Discrimination-based predictors significantly outperformed lexical-distributional predictors in predicting lexical decision latencies.
  • Comparable priming effects for 'corner' and 'cornea' masked primes challenge early obligatory morpheme segmentation.
  • Results align with NDL and Word and Paradigm theories, which do not consider morphemes as primary units.

Conclusions:

  • Discrimination-based measures provide superior predictions for lexical decision tasks compared to traditional methods.
  • The findings do not support obligatory early morpheme segmentation in reading.
  • Higher spelling proficiency and vocabulary size correlate with more efficient use of orthographic information and lexical competition handling.