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 $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...
The National Science Foundation (NSF) awarded a $424,019 Project Grant to the University of California, Los Angeles (UCLA) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The grant, which runs from May 15, 2025 to April 30, 2028, supports a study on the crosslinguistic components of clausal complementation - the ability to embed one sentence within another. The project aims to document and describe the grammatical properties associated with clausal embedding across a...
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...
This $351,534 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research on sociolinguistic development in pre- and early adolescents. The awardee, Michigan State University, will leverage a novel audio diary method to create a large corpus of adolescent speech data, which will be acoustically analyzed to test hypotheses about language change and the role of socially influential speakers. The project also...
This National Science Foundation (NSF) Project Grant award, funded under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports the development of a digital phonological atlas to chart the speech patterns of an underexplored language variety. The $238,206 award, granted on May 15, 2025, will enable researchers at Indiana University to conduct linguistic interviews with 160 participants across different regions, utilizing phonetic analysis and spatial mapping tools to...
This Project Grant award, with a total funding amount of $182,694, was provided by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) to Rutgers, The State University. The grant, with a period of performance from September 1, 2024 to August 31, 2027, supports research focused on understanding the mechanisms underlying human language acquisition, particularly the learning of word morphology and phonology. The research aims to develop...
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...
The National Science Foundation awarded $103,992 under the Social, Behavioral, and Economic Sciences grant program (CFDA 47.075) to the University of Michigan from June 2023 through May 2026. The award will support the creation of the Individual Differences Corpus, a publicly available database of speech data from hundreds of native English speakers. The corpus will pair audio recordings with detailed cognitive and social profiles of each speaker. It aims to advance understanding of how...
This Project Grant award from the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), supports research to develop a computational model that mimics how the human brain detects and repairs speech errors. The $686,537 project, awarded to Trustees of Indiana University, will build the largest publicly available multilingual database of speech errors and repairs across four languages - English,...