The National Science Foundation (NSF) awarded a $340,217 Project Grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of Maryland, College Park. The grant supports the development of innovative tools based on AI large language models (LLMs) to help individuals with limited majority-language proficiency enhance their language abilities for effective information seeking. The project will enable these individuals to design and utilize...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) Project Grant award of $112,818 to the University of California, Santa Barbara (UCSB) aims to improve the understanding, correction, and adaptation of large language models (LLMs) from a knowledge-oriented perspective. The project will focus on four key research thrusts: 1) understanding how external knowledge interacts with LLM behavior, 2) developing methods to enable LLMs to...
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) Computer and Information Science and Engineering (CISE) federal project grant award (CFDA 47.070) totaling $1,383,654.00 will fund the development of language technologies to facilitate crisis preparedness and response. The 3-year project, starting October 1, 2024, will build datasets of crisis communications, including from social media, to advance language technology capabilities for communicating with vulnerable populations during disasters, regardless...
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 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant awarded to the University of Arizona, doing business as the Arizona Board of Regents, will develop five new Universal Dependencies (UD) corpora of endangered languages totaling at least 30,000 tokens each. The $139,306 award, spanning August 2023 to July 2026, will produce: (1) freely-available, fully-annotated treebanks for quantitative linguistic analyses and natural language...
George Mason University was awarded a $239,720 project grant from the National Science Foundation Division of Behavioral and Cognitive Sciences to support collaborative research on language documentation with an artificial intelligence (AI) helper. The award falls under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), which aims to promote basic research and education in these fields and monitor science investments. Under the grant, George Mason University will partner with...
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 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...
The National Science Foundation (NSF) awarded a $174,967 EAGER (Early-concept Grants for Exploratory Research) Project Grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Trustees of Indiana University. This 2-year project, running from October 1, 2024 to September 30, 2026, aims to study how well machine language tools can grasp cultural nuances to enhance cross-cultural communication. The project will focus on developing a new knowledge base...