This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award, with a funding amount of $340,217 and an effective date of August 1, 2025, will develop innovative AI-based tools to help individuals without majority-language proficiency improve their language skills for effective information seeking. The University of Maryland, College Park will lead this 5-year project, which aims to create personalized digital tutoring systems that guide users...
This National Science Foundation (NSF) award under the Computer and Information Science and Engineering program (CFDA 47.070) provides $299,977 to Trustees of Indiana University to develop five new syntactically-annotated corpora of endangered languages. The project aims to build high-quality datasets and computational tools for analyzing the grammars of these languages, validating new techniques that can work with small datasets. The key products include: (1) five freely-available treebanks...
This $763,741 project grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to better align how human and artificial intelligence (AI) models process language. The researchers at New York University will explore techniques to modify AI architectures, such as adopting semantic training objectives and leveraging causal intervention methods, to bring them more in line with how humans derive meaning from sentences and handle...
This Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will fund research to better understand the differences between how humans and AI language models process and interpret language. The $432,656 award to the University of Massachusetts (UMass) will explore techniques to align AI models more closely with human language comprehension, including investigating the relationship between model...
The National Science Foundation (NSF) awarded a $329,183 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, awarded on October 1, 2023, will fund the development of a framework and methodology to enable researchers and software engineers to better interpret the behavior of AI-powered developer tools that leverage neural language models for source code. The project aims to generate global and local...
This National Science Foundation (NSF) Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $106,179 to the University of Arizona to advance the development of technologies that support documentation and revitalization of endangered indigenous languages. The project aims to build capacity and infrastructure to create effective, durable, and appropriate language-related technologies within indigenous communities. Key products and services include:...
This $392,993 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop more accessible and reliable machine translation technology. The University of Maryland, College Park will work with sub-awardee University of California, Berkeley to advance natural language processing and human-computer interaction techniques. Specifically, the project will create a conversational bot to guide lay users through text-based machine...
This Project Grant award of $334,731.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program will support research at George Mason University to leverage grammar books to develop language technologies for data-scarce languages. The key objectives are to: (1) build datasets to explore the meta-linguistic capabilities of large language models, (2) build large language models for new languages using grammars, (3) make theoretical connections...
This Project Grant award from the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $104,114 to Haverford College to conduct research on the mechanisms underlying human language learning. The research aims to better understand how people construct mental representations of words and learn the morphological and phonological patterns that govern language. The project will develop interpretable computational models and algorithms...
This $296,804 EAGER grant awarded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support the development of new natural language processing tools and language models for an endangered language. The project at the University of Hawaii at Manoa will first collect and consolidate language data, then train machine translation systems to translate text both into and out of the endangered language. The project will also investigate...