Memory Constraints on Cross Situational Word Learning
Keyword(s):
A simple memory component is amended to local (“Pursuit”; Stevens, Gleitman, Trueswell, and Yang (2017)) and globa l(e.g., Yu and Smith (2007); Fazly, Alishahi, and Stevenson (2010)) models of cross-situational word learning. Only a finite (and small) number of words can be concurrently learned; successfully learned words are removed from the memory buffer and stored in the lexicon. The memory buffer improves the empirical coverage for both local and global learn-ing models. However, the complex task of homophone learning (Yurovsky & Yu, 2008) proves a more decisive advantage for the local model (dubbed Memory Bound Pursuit; MBP). Implications and limitations of these results are discussed.
2019 ◽
Vol 50
(4)
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pp. 461-465
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2019 ◽
Vol 62
(3)
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pp. 554-563
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2020 ◽
Vol 63
(1)
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pp. 345-356
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2010 ◽
Vol 17
(1)
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pp. 25-32
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2005 ◽
Vol 12
(3)
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pp. 4-8
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