Project Grant 2523498
- This National Science Foundation (NSF) Project Grant, awarded under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), provides $457,997 to Indiana University to build a 1.4-million-word syntactically parsed electronic corpus spanning 900 years of a single language. The corpus will allow researchers to investigate grammatical change and variation over time, as well as enable comparisons to similar developments in related languages. The project involves manual annotation of...
- This $116,797 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research to document, analyze, and revitalize a contact language that has undergone significant grammatical change. The project will record 40 hours of natural speech through sociolinguistic interviews and linguistic elicitation, transcribe and annotate the data, and develop an open-access digital corpus. Grounded in theories of...
- This $240,470 Project Grant awarded by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) aims to investigate evidential markers - the grammatical coding of information source and speaker's perspectives - across different languages. The project's goal is to create treebanks/universal dependencies corpora to develop an automated deep-learning natural language processing (NLP) model that can extract information from texts...
- This $160,000 Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports an early career scientist's postdoctoral fellowship to use computational models to understand children's language processing development. The project aims to study how quickly children can put words together as they read, designing a web-based task to measure children's word-by-word reading times and using AI language models to analyze how their...
- 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 $550,000 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of generative artificial intelligence (AI)-powered products that enable humans to interact and converse with books and other documents. The key products being developed include: Technology to represent the informational content of books and document discussions as a knowledge graph, which will then be used to ground large...
- This National Science Foundation (NSF) Project Grant award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $268,067 to The Research Foundation For The State University Of New York (RF SUNY) to advance linguistic research through the development of speech technologies. The key products and services delivered under this 2-year award, which runs from August 1, 2025 to July 31, 2027, include: Creation of benchmark datasets, comprehensive lexica, and advanced data...
- 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...
- 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...
- 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...
This Project Grant award, titled "TOOLS AND RESOURCES FOR ANALYSIS OF EARLY ENGLISH BOOKS ONLINE (TRACE)", is funded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The $798,401 award, with a project period from September 1, 2025 to August 31, 2029, supports the development of artificial intelligence (AI) tools to identify grammatical structures, word meanings, and references to people and places in historical English texts. This will create the largest annotated historical English corpus to date, transforming how researchers study language change and early modern culture. The project aims to make these materials more accessible to scholars across disciplines by integrating the resources into the existing EarlyPrint website. The resulting corpus will also be valuable for AI researchers working on language technology, who can use it to train new and better models that can handle a wide variety of language.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $798.4k | 8/1/25 |