Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Noah Diewald"'
Autor:
Micha Elsner, Andrea D. Sims, Alexander Erdmann, Antonio Hernandez, Evan Jaffe, Lifeng Jin, Martha Booker Johnson, Shuan Karim, David L. King, Luana Lamberti Nunes, Byung-Doh Oh, Nathan Rasmussen, Cory Shain, Stephanie Antetomaso, Kendra V. Dickinson, Noah Diewald, Michelle McKenzie, Symon Stevens-Guille
Publikováno v:
Journal of Language Modelling, Vol 7, Iss 1, Pp 53–98-53–98 (2019)
We survey research using neural sequence-to-sequence models as compu- tational models of morphological learning and learnability. We discuss their use in determining the predictability of inflectional exponents, in making predictions about language a
Externí odkaz:
https://doaj.org/article/14d50c3b348d4816913f8ae538f8e3ef
Publikováno v:
Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages.
Autor:
Martha Booker Johnson, Lifeng Jin, Evan Jaffe, Cory Shain, Nathan Rasmussen, Kendra V. Dickinson, Shuan Karim, Byung-Doh Oh, Luana Lamberti Nunes, Noah Diewald, Alexander Erdmann, Symon Jory Stevens-Guille, Andrea D. Sims, Antonio Hernandez, Michelle McKenzie, David L. King, Stephanie Antetomaso, Micha Elsner
Publikováno v:
Journal of Language Modelling, Vol 7, Iss 1, Pp 53–98-53–98 (2019)
We survey research using neural sequence-to-sequence models as compu-tational models of morphological learning and learnability. We discusstheir use in determining the predictability of inflectional exponents, inmaking predictions about language acqu