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Syllables and morphemes: contrasting frequency effects in Spanish
C J Alvarez1, M Carreiras, M Taft
1Department of Cognitive Psychology, University of La Laguna, Tenerife, Spain. calvarez@ull.es
Summary
This study on Spanish visual word recognition found that root morpheme frequency, not basic orthographic syllabic structure (BOSS) frequency, influences word recognition. Current models struggle to integrate syllable and morpheme effects.
Area of Science:
- Psycholinguistics
- Cognitive Psychology
- Computational Linguistics
Background:
- Visual word recognition involves processing sublexical units.
- The roles of syllable, basic orthographic syllabic structure (BOSS), and root morpheme frequencies in Spanish are debated.
- Existing models face challenges in integrating different sublexical units.
Purpose of the Study:
- To investigate the influence of syllable, BOSS, and root morpheme frequencies on Spanish visual word recognition.
- To determine which sublexical unit (syllable, BOSS, or morpheme) best predicts word recognition.
- To assess the adequacy of current models in explaining these effects.
Main Methods:
- Lexical-decision tasks were employed across multiple experiments.
- Experiment 1 manipulated first-syllable frequency and BOSS frequency.
- Experiments 2, 3A, and 3B manipulated BOSS frequency and root morpheme frequency, controlling for word frequency and syllable frequency respectively.
Main Results:
- Experiment 1 showed an inhibitory effect of first-syllable frequency and a word-frequency effect.
- Experiment 2 revealed facilitatory effects of both BOSS frequency and word frequency.
- Experiments 3A and 3B indicated a facilitatory effect of root morpheme frequency and a null effect of BOSS frequency when controlling for morpheme frequency, suggesting a morpheme effect.
Conclusions:
- The findings suggest that root morpheme frequency plays a significant role in Spanish visual word recognition.
- The basic orthographic syllabic structure (BOSS) effect appears to be driven by morpheme frequency rather than orthographic structure alone.
- Current computational models need refinement to effectively integrate both syllable and morpheme levels of processing.