Readings from previous years can be found below:
[2016-2017] [2015-2016] [2014-2015] [2013-2014] [2012-2013] [2011-2012] [2010-2011]
Discussed Spring 2026
Kakouros, S., & Räsänen, O. (2015). Automatic detection of sentence prominence in speech using predictability of
word-level acoustic features. In Interspeech (pp. 568-572).
Räsänen, O., Doyle, G., & Frank, M.C. (2018). "Pre-linguistic segmentation of speech into syllable-like units." Cognition, 171, 130–150.
Räsänen, O., Doyle, G., & Frank, M.C. (2018). "Pre-linguistic segmentation of speech into syllable-like units." Cognition, 171, 130–150.
Discussed Winter 2026
Yang, Xiulin. (2025). Do Neural Language Models Learn Like Children? Revisiting the Poverty
of the Stimulus Hypothesis with PoSH-Bench. Manuscript, Georgetown University.
Portelance, E., Frank, M. C., & Jurafsky, D. (2024). Learning the meanings of function words from grounded language using a visual question answering model. Cognitive Science, 48(5), e13448.
Portelance, E., Frank, M. C., & Jurafsky, D. (2024). Learning the meanings of function words from grounded language using a visual question answering model. Cognitive Science, 48(5), e13448.
Discussed Fall 2025
Jessop, A., Pine, J., & Gobet, F. (2025). Chunk-based incremental processing and learning: An integrated
theory of word discovery, implicit statistical learning, and speed of lexical processing. Psychological
Review. Advance online publication. https://dx.doi.org/10.1037/rev0000564