J
James White
Researcher at University College London
Publications - 22
Citations - 565
James White is an academic researcher from University College London. The author has contributed to research in topics: Vowel & Stress (linguistics). The author has an hindex of 10, co-authored 21 publications receiving 440 citations. Previous affiliations of James White include University of California & University of California, Los Angeles.
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Explaining sonority projection effects
TL;DR: It is shown that a model based only on lexical statistics can explain sonority projection in English without a pre-existing sonority sequencing principle, and must possess a featural system supporting sonority-based generalisations and a context representation including syllabification or equivalent information.
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Commensal bacteria contribute to insulin resistance in aging by activating innate B1a cells
Monica Bodogai,Jennifer F. O’Connell,Ki Soon Kim,Yoo Kim,Kanako Moritoh,Chen Chen,Fedor Gusev,Kelli L. Vaughan,Natalia Shulzhenko,Julie A. Mattison,Catalina Lee-Chang,Weixuan Chen,Olga D. Carlson,Kevin G. Becker,Manoj Gurung,Andrey Morgun,James White,Theresa Meade,Kathy A Perdue,Matthias Mack,Luigi Ferrucci,Giorgio Trinchieri,Rafael de Cabo,Evgeny I. Rogaev,Evgeny I. Rogaev,Evgeny I. Rogaev,Josephine M. Egan,Jiejun Wu,Arya Biragyn +28 more
TL;DR: It is shown in aged mice and nonhuman primates that aging-associated insulin resistance may be mediated by changes in the gut microbiome and suggested that the microbiome–monocyte–B cell axis could potentially be targeted to reverse age-associated IR.
Journal ArticleDOI
Phonological Naturalness and Phonotactic Learning
Bruce Hayes,James White +1 more
TL;DR: Whether the patterns of phonotactic well-formedness internalized by language learners are direct reflections of the phonological patterns they encounter, or reflect in addition principles of phonological naturalness, is investigated, and is concluded in favor of a learning bias account.
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Evidence for a learning bias against saltatory phonological alternations
TL;DR: New experimental evidence that people learn phonological alternations in a biased way is provided, taking as evidence that learners have a soft bias, considering alternations between perceptually similar sounds to be more likely.
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Accounting for the learnability of saltation in phonological theory: A maximum entropy model with a P-map bias
TL;DR: This paper presented a phonological framework that can account for both the existence and the dispreferred status of saltatory alternations, where two sounds alternate with each other, excluding a third sound that is phonetically intermediate between the two alternating sounds.