The University of Texas at Austin received a $390,536 Project Grant award from the National Science Foundation Division of Behavioral and Cognitive Sciences on September 1, 2021 to complete the project by February 28, 2025. The grant is funded through the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), which aims to support basic research and education in these fields as well as monitor science resources. Specifically, the University will conduct an artificial language...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award provides $160,000 in funding from September 2024 to August 2026 to an early career researcher. The grant supports an investigation into the role of non-systematic structures in natural language, with the goal of better understanding language learning and use. Specifically, the research will develop a novel measure of systematicity in language using information theory tools, and then...
The National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences awarded a $450,000 Project Grant to the University of Massachusetts (UMass) under the NSF Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The grant, effective September 1, 2023 through August 31, 2026, will fund research on the cognitive mechanisms supporting the production of sentences involving recursion and displacement across different languages. The project aims to use structural priming...
This $449,275 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research to advance the scientific understanding of human language processing and change. The project, led by the University of California, Davis (UC Davis), combines expertise from linguistics, psychology, and computational approaches to investigate how language users integrate general language constraints and verb-specific preferences...
This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $195,040 to Stony Brook University, a prominent research institution, for a 3-year collaborative research project on subregular inference of morpho-phonology. The research aims to advance the understanding of how humans learn language, specifically the mental representations of words and the patterns governing their pronunciation. The project will develop...
The Massachusetts Institute of Technology (MIT) was awarded a $500,000 Project Grant from the National Science Foundation Division of Information and Intelligent Systems. The grant will support MIT's "COLLABORATIVE RESEARCH: NCS-FO: STUDYING LANGUAGE IN THE BRAIN IN THE MODERN MACHINE LEARNING ERA" project from September 15, 2021 through August 31, 2025. Under this award, MIT researchers will study human language processing and representation in the brain using modern machine...
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...
The University of Massachusetts received a $434,027 project grant award from the National Science Foundation on March 1, 2021 to fund the project "UNDERSTANDING VARIATION IN AFRICAN AMERICAN LANGUAGE: CORPUS AND PROSODIC FIELDWORK PERSPECTIVES" through August 31, 2024. The grant is part of NSF's Social, Behavioral, and Economic Sciences program (CFDA #47.075), which aims to contribute to scientific strength and welfare through promotion of basic research and education in these...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) project grant award of $334,731 to George Mason University aims to leverage existing grammar books to develop language technologies for data-scarce languages. The key activities include: Building datasets to explore the meta-linguistic capabilities of large language models. Exploring ways to build large language models for new languages by relying on grammars. Making theoretical...
This $244,516 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a project to document three languages with unusual grammatical structures in a multilingual region. The project aims to expand existing language databases and advance understanding of language evolution, structure, and function through comparative analyses. Key products include grammars, lexicons, and transcribed texts, which will be leveraged...