Project Grant 2506176
- 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 (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 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 Project Grant award from the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $224,769 to the University of North Texas (UNT) to develop artificial neural network models that can reconstruct proto-languages and earlier forms of modern languages. The project aims to leverage recent advancements in AI and machine learning to address limitations of current comparative reconstruction methods, which are used to study language...
- This Project Grant award of $249,993 from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports a research project at Georgetown University to examine language data and advance language infrastructure, knowledge, and theory. The project provides empirical data for developing and testing theories of language, which are important for understanding human cognition, and trains students in these methods. The research focuses on documenting and...
- This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) provides $160,000 in funding to support an early career scientist developing a framework for process-level models of human language comprehension. The goal is to bridge the gap between human language behavior and computational models by analyzing incremental language processing behavior, particularly in response to imperfect input, and implementing models to...
- This three-year $800,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to advance understanding of large language models through mathematical and conceptual analysis. The Trustees of Princeton University will receive funding to develop simplified generative text models, analyze how language models are trained on such generated texts, examine why learned models can perform downstream tasks, and design new adaptation methods with...
- This $333,667 Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE, CFDA 47.070) program, supports the development of a novel "neurosymbolic programming framework" called Foundation Model Programming. The project aims to generate symbolically interpretable scientific hypotheses from high-dimensional observational data, by representing hypotheses as neurosymbolic programs that leverage both symbolic...
- This $228,000.00 federal Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a collaborative research project at Northwestern University examining the relationship between information structure and syntax across different languages. The three-year project, running from September 1, 2025 to August 31, 2028, aims to advance psycholinguistic research on how people process information and use language in real-world...
- The National Science Foundation awarded a $400,000 Project Grant to Stanford University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support research and education activities to develop conceptual and mathematical understanding of large language models. Specifically, the university will conduct research analyzing simplified generative text models and language models trained on such data to gain insights into their inner...
This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) supports fundamental research on mathematical models of human language production. The $250,000 award to the California Institute of Technology (Caltech) aims to extend a novel mathematical model of syntax in human languages, with the goal of developing precise mathematical models to analyze and compare language produced by humans and artificial language models. The project, led by the Principal Investigator in collaboration with Noam Chomsky and Robert Berwick, seeks to provide a rigorous scientific understanding of language as a computational system, which is critical as technological developments in large language models continue to outpace theoretical advancements. The research findings are expected to contribute to the national interest by advancing the mathematical foundations underlying human language and artificial language systems.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $250.0k | 8/14/25 |