Iterated Learning Models of Language Change: A Case Study of Sino‐Korean Accent-Reference-Cited by-同舟云学术

Iterated Learning Models of Language Change: A Case Study of Sino‐Korean Accent

Published:2022-04 Issue:4 Volume:46 Page:
ISSN:0364-0213
Container-title:Cognitive Science
language:en
Short-container-title:Cognitive Science

Author:

Ito Chiyuki¹,Feldman Naomi H.²

Affiliation:

1. Research Institute for Languages and Cultures of Asia and Africa Tokyo University of Foreign Studies

2. Department of Linguistics and UMIACS University of Maryland

Publisher

Wiley

Subject

Artificial Intelligence,Cognitive Neuroscience,Experimental and Cognitive Psychology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cogs.13115

Reference89 articles.

1. Explaining Universal Tendencies and Language Particulars in Analogical Change

2. Modeling analogy as probabilistic grammar*

3. Old Chinese

4. Beguš G.(2020). Articial sound change: Language change and deep convolutional neural networks in iterative learning. arXiv:2011.05463v1 [cs.CL].https://arxiv.org/abs/2011.05463v1

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