incidental word learning
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Author(s):  
José Luis Tapia ◽  
Eva Rosa ◽  
Francisco Rocabado ◽  
Marta Vergara-Martínez ◽  
Manuel Perea

AbstractRecent studies have revealed that presenting novel words across various contexts (i.e., contextual diversity) helps to consolidate the meaning of these words both in adults and children. This effect has been typically explained in terms of semantic distinctiveness (e.g., Semantic Distinctiveness Model, Jones et al., Canadian Journal of Experimental Psychology, 66(2), 115, 2012). However, the relative influence of other, non-semantic, elements of the context is still unclear. In this study, we examined whether incidental learning of new words in children was facilitated when the words were uttered by several individuals rather than when they were uttered by the same individual. In the learning phase, the to-be-learned words were presented through audible fables recorded either by the same voice (low diversity) or by different voices (high diversity). Subsequently, word learning was assessed through two orthographic and semantic integration tasks. Results showed that words uttered by different voices were learned better than those uttered by the same voice. Thus, the benefits of contextual diversity in word learning extend beyond semantic differences among contexts; they also benefit from perceptual differences among contexts.


2020 ◽  
Vol 68 (6) ◽  
pp. 2913-2937
Author(s):  
Susan B. Neuman ◽  
Rachel Flynn ◽  
Kevin Wong ◽  
Tanya Kaefer

2020 ◽  
Author(s):  
Emma James ◽  
M. Gareth Gaskell ◽  
Rhiannon Pearce ◽  
Caroline Korell ◽  
Charlotte Dean ◽  
...  

Children and adults benefit from a new word’s phonological neighbours during explicit vocabulary instruction, suggesting that related prior knowledge supports learning across development. This study examined lexical neighbourhood structure during incidental word learning—limiting opportunities for strategically engaging prior knowledge—and tested the hypothesis that prior knowledge would provide additional support during subsequent consolidation.


2020 ◽  
Author(s):  
Matthew HC Mak ◽  
Yaling Hsiao ◽  
Kate Nation

Lexical processing is influenced by a word’s semantic diversity, as estimated by corpus-derived metrics. Although this suggests that contextual variation shapes verbal learning and memory, it is not clear what semantic diversity represents and why this influences lexical processing. Word learning experiments and simulations offer an opportunity to manipulate contextual variation directly and measure the effects on processing. In Experiment 1, adults read novel words in six naturalistic passages spanning one familiar topic (low semantic diversity) or six familiar topics (high semantic diversity). Words experienced in the low-diversity condition showed better learning, an effect replicated by simulating spreading activation in lexical networks differing in semantic diversity. We attributed these findings to “anchoring”, a process of stabilizing novel word representations by securing them onto a familiar topic in long-term memory. Simulation 2 and Experiment 2 tested whether word learning might be better placed to take advantage of diversity if novel words were first anchored before diversity was introduced. Simulations and behavioural data both showed that after an anchoring opportunity, novel words forms were better learned in the high-diversity condition. These findings show that anchoring and contextual variation both influence the early stages of word learning.


2019 ◽  
Vol 42 (2) ◽  
pp. 327-357 ◽  
Author(s):  
Bronson Hui

AbstractI investigated the trajectory of processing variability, as measured by coefficient of variation (CV), using an intentional word learning experiment and reanalyzing published eye-tracking data of an incidental word learning study (Elgort et al., 2018). In the word learning experiment, native English speakers (N = 35) studied Swahili-English word pairs (k = 16) before performing 10 blocks of animacy judgment tasks. Results replicated the initial CV increase reported in Solovyeva and DeKeyser (2018) and, importantly, captured a roughly inverted U-shaped development in CV. In the reanalysis of eye-tracking data, I computed CVs based on reading times on the target and control words. Results did not reveal a similar inverted U-shaped development over time but suggested more stable processing of the high-frequency control words. Taken together, these results uncovered a fuller trajectory in CV development, differences in processing demands for different aspects of word knowledge, and the potential use of CV with eye-tracking research.


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