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pro vyhledávání: '"Felix Hao Wang"'
Autor:
Felix Hao Wang, Elsi Kaiser
Publikováno v:
Language Learning. 72:695-727
One of the first problems in language learning is to segment words from continuous speech streams, and statistical learning is a powerful mechanism that allows learners to perform word segmentation. Yet some fundamental questions in statistical learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::554e6085fb2d58202524debe0c4ce80a
https://doi.org/10.31219/osf.io/z58xu
https://doi.org/10.31219/osf.io/z58xu
Autor:
Felix Hao Wang, John Trueswell
Publikováno v:
Cognition. 224
How do learners acquire subordinate terms (such as Dalmatian) and overcome the bias that words have basic-level meanings (such as dog)? Xu and Tenenbaum [Xu, F.,Tenenbaum, J. B. (2007a). Word learning as Bayesian inference. Psychological Review, 114(
Publikováno v:
Psychonomic bulletinreview. 27(5)
A large body of research has demonstrated that humans attend to adjacent co-occurrence statistics when processing sequential information, and bottom-up prosodic information can influence learning. In this study, we investigated how top-down grouping
Autor:
Felix Hao Wang, Toben H. Mintz
Publikováno v:
Journal of Experimental Psychology: Learning, Memory, and Cognition. 44:604-614
The structure of natural languages give rise to many dependencies in the linear sequences of words, and within words themselves. Detecting these dependencies is arguably critical for young children in learning the underlying structure of their langua
Publikováno v:
Cognitive Science. 43
In typical statistical learning studies, researchers define sequences in terms of the probability of the next item in the sequence given the current item (or items), and they show that high probability sequences are treated as more familiar than low
Autor:
Felix Hao Wang, John C. Trueswell
Publikováno v:
Cogn Psychol
Even when children encounter a novel word in the situation of a clear and unique referent, they are nevertheless faced with the problem of semantic uncertainty: when “puziv” refers to a co-present spotted dog, does the word mean Fido, Dalmatian,
Publikováno v:
Cognitive psychology. 113
Much of the statistical learning literature has focused on adjacent dependency learning, which has shown that learners are capable of extracting adjacent statistics from continuous language streams. In contrast, studies on non-adjacent dependency lea
Publikováno v:
Cognitive Science. Aug2019, Vol. 43 Issue 8, p1-42. 42p.
Autor:
Toben H. Mintz, Felix Hao Wang
Publikováno v:
Behavioral and Brain Sciences. 39
Christiansen & Chater (C&C) propose that learning language is learning to process language. However, we believe that the general-purpose prediction mechanism they propose is insufficient to account for many phenomena in language acquisition. We argue