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Frequency effects in compound production.

Heidrun Bien1, Willem J M Levelt, R Harald Baayen

  • 1Max Planck Institute for Psycholinguistics, P.O. Box 310, 6500 AH, Nijmegen, The Netherlands. heidrun.bien@mpi.nl

Proceedings of the National Academy of Sciences of the United States of America
|November 23, 2005
PubMed
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Speech production models are supported by constituent frequencies in Dutch compounds, not compound frequency alone. However, compound frequency impacts production, especially at lower ranges, suggesting complex lexical interactions.

Area of Science:

  • Psycholinguistics
  • Cognitive Psychology
  • Computational Linguistics

Background:

  • Understanding how the human brain processes and produces language is crucial for cognitive science.
  • Compound words, formed by combining two or more words, present a unique challenge in speech production research.
  • The role of frequency information (how often words or morphemes appear) in this process is debated.

Purpose of the Study:

  • To investigate the influence of constituent morpheme frequency and compound word frequency on the production of Dutch noun-noun compounds.
  • To test the predictions of decompositional models of speech production against alternative explanations involving holistic word frequency.
  • To explore the contribution of paradigmatic relations in the mental lexicon to compound production.

Main Methods:

Related Experiment Videos

  • Four experiments were conducted using Dutch noun-noun compounds with controlled frequency variations.
  • A position-response association task was employed, involving learning associations between compounds and visual positions.
  • Speech onset latencies were measured during a cued-recall test phase to assess production speed.

Main Results:

  • Speech onset latencies were significantly affected by the frequencies of the individual constituent morphemes.
  • No significant effect was found for the frequency of the compound word itself on production latencies.
  • Compound frequency emerged as a significant nonlinear predictor in regression analysis, showing facilitation at low frequencies and inhibition at high frequencies.
  • Measures including constituent frequencies and entropies explained more variance than a strict decompositional model.

Conclusions:

  • Findings provide evidence supporting decompositional models of speech production, where constituent morpheme frequency plays a key role.
  • The study highlights that compound frequency also influences production, albeit nonlinearly, suggesting a more complex interaction in the mental lexicon.
  • The results indicate that paradigmatic relations, beyond simple constituent frequencies, are important for understanding word production.