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Synthesizing theories of human language with Bayesian program induction

Linguistics and Languages

Synthesizing theories of human language with Bayesian program induction

K. Ellis, A. Albright, et al.

Explore a groundbreaking framework that combines Bayesian inference with program synthesis to generate interpretable morpho-phonological models from 70 datasets spanning 58 languages. Conducted by a team of experts including Kevin Ellis, Adam Albright, Armando Solar-Lezama, Joshua B. Tenenbaum, and Timothy J. O'Donnell, this research paves the way for powerful machine-enabled discoveries in linguistics and beyond.... show more
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14
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64
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