The influence of clustering coefficient on word-learning: how groups of similar sounding words facilitate acquisition
| Autor: | Michael S. Vitevitch, Rutherford Goldstein |
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| Rok vydání: | 2014 |
| Předmět: |
Speech production
Speech perception psycholinguistic business.industry lcsh:BF1-990 word-learning clustering coefficient Network science Lexicon computer.software_genre Task (project management) lcsh:Psychology neighborhood density network science Psychology Retention period Artificial intelligence Original Research Article business computer Word (group theory) Natural language processing General Psychology Clustering coefficient |
| Zdroj: | Frontiers in Psychology Frontiers in Psychology, Vol 5 (2014) |
| ISSN: | 1664-1078 |
| Popis: | Clustering coefficient, C, measures the extent to which neighbors of a word are also neighbors of each other, and has been shown to influence speech production, speech perception, and several memory-related processes. In this study we examined how C influences word-learning. Participants were trained over three sessions at one-week intervals, and tested with a picture-naming task on nonword-nonobject pairs. We found an advantage for novel words with high C (the neighbors of this novel word are likely to be neighbors with each other), but only after the one-week retention period with no additional exposures to the stimuli. The results are consistent with the spreading-activation network-model of the lexicon proposed by Chan & Vitevitch (2009). The influence of C on various language-related processes suggests that characteristics of the individual word are not the only things that influence processing; rather, lexical processing may also be influenced by the relationships that exist among words in the lexicon. |
| Databáze: | OpenAIRE |
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