Related Experiment Video
Updated: Jul 16, 2026

08:08
Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese
Published on: April 1, 2016
Syllabic length effects in visual word recognition and naming
1CNRS and Université René Descartes, Paris, France. ferrand@psycho.univ-paris5.fr
Acta Psychologica
|May 17, 2003
Summary
The number of syllables impacts visual word recognition and naming for low-frequency words, suggesting syllabic decomposition is necessary for these words. High-frequency words are processed differently, bypassing this effect.
Area of Science:
- Cognitive Psychology
- Psycholinguistics
- Neuroscience
Background:
- Syllable structure is a key feature of spoken and written language.
- The role of syllabic length in visual word processing remains debated.
- Understanding word recognition mechanisms is crucial for reading research.
Purpose of the Study:
- To investigate the influence of syllable number on visual word recognition and naming.
- To determine if syllabic decomposition is a necessary component of word processing.
- To compare findings with existing computational models of reading.
Main Methods:
- Two experiments were conducted: word and nonword naming (Experiment 1) and lexical decision (Experiment 2).
- Participants' response latencies were measured for words and nonwords varying in syllabic length and frequency.
- Statistical analyses examined the effects of syllable number on naming and decision times.
Main Results:
- Syllable number significantly affected naming latencies for nonwords and very low-frequency words, but not for high-frequency words.
- Lexical decision tasks showed similar syllabic length effects for very low-frequency words, but not for high-frequency words or nonwords.
- These findings indicate syllabic decomposition is essential for processing very low-frequency words.
Conclusions:
- Visual word recognition and naming necessitate syllabic decomposition, particularly for very low-frequency words in French.
- Results support the multiple-trace memory model and a modified dual route cascaded model incorporating syllabic units.
- The Parallel Distributed Processing model struggles to account for the observed syllabic length effects.

