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John Hale

Blurred image of the arch used as background for stylistic purposes.
Arch Professor of World Languages, Department of Linguistics

I joined UGA's fantastic Linguistics Department in Fall 2018 after a stint as a full-time research scientist at Deepmind. My work centers on language comprehension -- how are we able to understand one another, just by hearing a sequence of words, one by one?  I have sought to answer this question through cognitive modeling -- analyzing the human mind via computer simulation. For more on this line of research, check out this book-length monograph.

Education:

PhD (Cognitive Science) Johns Hopkins University 2003

ScB (Cognitive Science) Brown University 1998

Selected Publications:

our exciting new data paper!!!! ➝ The Alice Datasets: fMRI & EEG Observations of Natural Language Comprehension. with Shohini Bhattasali, Jonathan Brennan, Wen-Ming Luh, Berta Franzluebbers. preprint accepted at LREC2020.

Text Genre and Training Data Size in Human-like Parsing. With Adhiguna Kuncoro, Keith Hall, Chris Dyer & Jonathan Brennan. Proceedings of EMNLP 2019poster.

Finding Syntax in Human Encephalography with Beam Search. With Chris Dyer, Adhiguna Kuncoro and Jonathan R. Brennan.  Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics. Note: received Best Paper award.

Localising Memory Retrieval and Syntactic Composition: an fMRI study of naturalistic language comprehension. With Shohini Bhattasali, Murielle Fabre, Wen-Ming Luh, Hazem Al Saied, Mathieu Constant, Christophe Pallier, Jonathan R. Brennan and R. Nathan Spreng. To appear in a special issue of Language, Cognition & Neuroscience devoted to Natural Spoken Story Comprehension edited by Katerina D. Kandylaki.

 

 

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