Deep Learnability: Using Neural Networks to Quantify Language Similarity and Learnability

Learning a second language (L2) usually progresses faster if a learner's L2 is similar to their first language (L1). Yet global similarity between languages is difficult to quantify, obscuring its precise effect on learnability. Further, the combinatorial explosion of possible L1 and L2 language pai...

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Podrobná bibliografie

Hlavní autoři:	Clara Cohen, Catherine F. Higham, Syed Waqar Nabi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2020-06-01
Edice:	Frontiers in Artificial Intelligence
Témata:	second-language acquisition deep learning language similarity computational modeling artificial languages
On-line přístup:	https://www.frontiersin.org/article/10.3389/frai.2020.00043/full
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