The University of Texas at Austin received a $175,000 Project Grant award from the National Science Foundation Division of Information and Intelligent Systems. The award is part of the NSF's Computer and Information Science and Engineering program (CFDA 47.070) and will fund research using linguistic variation to understand deep neural models of language from July 1, 2021 to June 30, 2023. As part of the grant, the University will conduct investigator-initiated research exploring how linguistic variation can provide insights into neural network models that process human language at both the syntactic and semantic levels. The grant supports the development of computational techniques and theoretical frameworks to advance the use of linguistic patterns and properties to analyze emerging deep learning models of natural language.
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