IE8.com. IEGPT
Author:
Affiliation:
1. Linguistics Research Center , The University of Texas at Austin , 1 University Station , S5490, Austin , TX 78712 , USA
Publisher
Walter de Gruyter GmbH
Subject
Linguistics and Language,Language and Linguistics
Link
https://www.degruyter.com/document/doi/10.1515/flin-2023-2034/pdf
Reference16 articles.
1. Aggarwal, Charu C. 2018. Neural networks and deep learning: A textbook. Cham: Springer.
2. Assael, Yannis, Thea Sommerschield, Brendan Shillingford, Mahyar Bordbar, John Pavlopoulos, Marita Chatzipanagiotou, Ion Androutsopoulos, Jonathan Prag & Nando de Freitas. 2022. Restoring and attributing ancient texts using deep neural networks. Nature 603. 280–283. https://doi.org/10.1038/s41586-022-04448-z.
3. Bender, Emily M., Timnit Gebru, Angelina McMillan-Major & Shmargaret Shmitchell. 2021. On the dangers of stochastic parrots: Can language models be too big? In FAccT’21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 612–623. New York: Association for Computing Machinery.
4. Bicknell, Klinton, Claire Brust & Burr Settles. 2023. How Duolingo’s AI learns what you need to learn: The language-learning app tries to emulate a great human tutor. IEEE Spectrum 60(3). 28–33. https://doi.org/10.1109/mspec.2023.10061631.
5. Cook, Brian F. 1987. Greek inscriptions. Berkeley: University of California Press.
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