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Modeling morphological learning, typology, and change : What can the neural sequence-to-sequence framework contribute?

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
We survey research using neural sequence-to-sequence models as computational models of morphological learning and learnability. We discuss their use in determining the predictability of inflectional exponents, in making predictions about language acquisition and in modeling language change. Finally, we make some proposals for future work in these areas.
Słowa kluczowe
Rocznik
Strony
53--98
Opis fizyczny
Bibliogr. 140 poz., tab.
Twórcy
autor
  • Department of Linguistics, The Ohio State University
  • Department of Linguistics, The Ohio State University
  • Department of Linguistics, The Ohio State University
  • Department of Linguistics, The Ohio State University
autor
  • Department of Linguistics, The Ohio State University
autor
  • Department of Linguistics, The Ohio State University
  • Department of Linguistics, The Ohio State University
autor
  • Department of Linguistics, The Ohio State University
  • Department of Linguistics, The Ohio State University
  • Department of Spanish and Portuguese, The Ohio State University
autor
  • Department of Linguistics, The Ohio State University
  • Department of Linguistics, The Ohio State University
autor
  • Department of Linguistics, The Ohio State University
  • Department of Linguistics, The Ohio State University
  • Department of Spanish and Portuguese, The Ohio State University
autor
  • Department of Linguistics, The Ohio State University
  • Department of Linguistics, The Ohio State University
  • Department of Linguistics, The Ohio State University
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2d6b0ae6-bed0-4264-94ba-63f9a0f88608
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