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Updated: Jan 27, 2026

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese
Published on: April 1, 2016
Error-based learning and lexical competition in word production: Evidence from multilingual naming
Elin Runnqvist1, Kristof Strijkers1, Albert Costa2,3
1Aix-Marseille Université, CNRS, Laboratoire Parole et Langage UMR, Aix-en-Provence, France.
Lexical selection learning is error-based, meaning errors impact future word retrieval. This process is competitive, especially when using multiple languages with varying error rates.
Area of Science:
- Psycholinguistics
- Cognitive Science
- Second Language Acquisition
Background:
- Lexical selection is the process of retrieving the correct word during speech production.
- Understanding the mechanisms of learning and competition in lexical selection is crucial for explaining language processing.
- Previous research has explored error-based learning and competitive selection, but their interplay requires further investigation.
Purpose of the Study:
- To investigate whether learning associated with lexical selection is primarily error-based.
- To determine if lexical selection operates through a competitive mechanism.
- To assess the after-effects of word production on subsequent semantic competitor retrieval, considering varying degrees of error.
Main Methods:
- Participants engaged in a two-part naming task involving pictures and words in different languages.
- Part A involved naming stimuli in one language, followed by Part B where participants named the same (old set) and new sets of stimuli in another language.
- Reaction times (RTs) for naming were measured to assess retrieval costs for previously produced items (translation equivalents) versus novel items.
Main Results:
- Retrieval costs for previously named items (translation equivalents) were significantly larger than for new items.
- This retrieval cost was greater when participants initially named words in a higher-error language (L2) compared to a lower-error language (L1), supporting error-based learning.
- When naming occurred in a high-error language (L3), the subsequent cost for naming in another high-error language (L2 vs. L1) was amplified, indicating competitive lexical selection.
Conclusions:
- The findings support an error-based learning model for lexical selection, where errors encountered during word production influence subsequent retrieval.
- Evidence suggests that lexical selection is a competitive process, particularly evident in multilingual contexts with differential error rates.
- These results contribute to a deeper understanding of how the brain learns and selects words, especially in second and subsequent language acquisition.
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