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Cerebral And Cerebellar Models Of Language Learning
Oleh:
Loritz, Donald J.
Jenis:
Article from Journal - ilmiah internasional
Dalam koleksi:
Applied Linguistics (Full Text) vol. 12 no. 3 (Sep. 1991)
,
page 299-318.
Fulltext:
Vol 12, 3, p 299-318.pdf
(1.09MB)
Ketersediaan
Perpustakaan PKBB
Nomor Panggil:
405/APL/12
Non-tandon:
tidak ada
Tandon:
1
Lihat Detail Induk
Isi artikel
Recent research in 'connectionism' has awakened interest in parallel models of language. The most widely-reported architectures model cerebellar cortex. Language, however, is principally learned by cerebral cortex. In cerebral anatomies, Peircean 'surprising events' cause 'rebounds': revolutions in which dominant synergies of dipole fields (rules) are overthrown and replaced by new synergies. Grossberg's Adaptive Resonance Theory (ART) describes such anatomies. The AR T model is presented as a general framework for explaining common linguistic phenomena such as fossilization, categorical perception, vowel phonemicization, and linguistic rule formation. The performance of cerebral AR T models is compared with that of cerebellar models (Parallel Distributed Processing, Boltzmann machines). In conclusion, ART is proposed as a basis for unifying language learning theories with each other and with praxis.
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