This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $195,040.00 to The Research Foundation For The State University Of New York, doing business as Stony Brook University, from September 1, 2024 to August 31, 2027. The research aims to better understand the mechanisms underlying the human ability to learn language, focusing on how people acquire the words and systematic pronunciation patterns of their language (morphology and phonology). The proposed project will apply computational models and algorithms based on subregular logic and automata to analyze mental representations of words and morpho-phonological patterns, with a goal of developing interpretable software for analyzing low-resource languages. The research activities will provide open-source software and evaluate the developed algorithms empirically, including on low-resource language data. No sub-awards are planned under this grant.
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