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Newly learned word forms are abstract and integrated immediately after acquisition

Overview of attention for article published in Psychonomic Bulletin & Review, July 2015
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Title
Newly learned word forms are abstract and integrated immediately after acquisition
Published in
Psychonomic Bulletin & Review, July 2015
DOI 10.3758/s13423-015-0897-1
Pubmed ID
Authors

Efthymia C. Kapnoula, Bob McMurray

Abstract

A hotly debated question in word learning concerns the conditions under which newly learned words compete or interfere with familiar words during spoken word recognition. This has recently been described as a key marker of the integration of a new word into the lexicon and was thought to require consolidation Dumay & Gaskell, (Psychological Science, 18, 35-39, 2007; Gaskell & Dumay, Cognition, 89, 105-132, 2003). Recently, however, Kapnoula, Packard, Gupta, and McMurray, (Cognition, 134, 85-99, 2015) showed that interference can be observed immediately after a word is first learned, implying very rapid integration of new words into the lexicon. It is an open question whether these kinds of effects derive from episodic traces of novel words or from more abstract and lexicalized representations. Here we addressed this question by testing inhibition for newly learned words using training and test stimuli presented in different talker voices. During training, participants were exposed to a set of nonwords spoken by a female speaker. Immediately after training, we assessed the ability of the novel word forms to inhibit familiar words, using a variant of the visual world paradigm. Crucially, the test items were produced by a male speaker. An analysis of fixations showed that even with a change in voice, newly learned words interfered with the recognition of similar known words. These findings show that lexical competition effects from newly learned words spread across different talker voices, which suggests that newly learned words can be sufficiently lexicalized, and abstract with respect to talker voice, without consolidation.

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Geographical breakdown

Country Count As %
United States 3 4%
France 1 1%
Belgium 1 1%
Unknown 76 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 31%
Researcher 16 20%
Student > Master 12 15%
Student > Doctoral Student 7 9%
Student > Postgraduate 5 6%
Other 11 14%
Unknown 5 6%
Readers by discipline Count As %
Psychology 40 49%
Linguistics 13 16%
Neuroscience 9 11%
Social Sciences 2 2%
Economics, Econometrics and Finance 1 1%
Other 3 4%
Unknown 13 16%