Project Grant 2518581
- This $244,516 federal Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports a research project to document and analyze three languages with unusual grammatical structures. The goal is to expand existing language databases and advance the understanding of language evolution, structure, and function through comparative analyses. Key project outputs will include grammars, lexicons, and transcribed texts, leveraging...
- This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program examines the relationship between information structure and syntax across diverse languages. The $237,402 award to The Ohio State University will investigate how context, word order, and emphasis affect language processing and understanding in conversational settings. The research methodology utilizes cognitive data, including eye-tracking, to study how...
- 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 of $217,969, provided by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports a research project at the University of Washington investigating syntax across languages. The key products and services to be delivered include: Documenting and analyzing the syntax of a language through recordings of natural speech and speaker interviews to identify possible and impossible sentence structures. Transcribing and...
- 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 $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 $445,543 federal Project Grant award was provided by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The award supports a project titled "LANGDIV: HNDS-R: TALKER-SPECIFIC, LANGUAGE-SPECIFIC, AND LANGUAGE-GENERAL CHARACTERISTICS OF FIRST-LANGUAGE AND SECOND-LANGUAGE SPEECH" at Northwestern University. The key objectives of this 3-year project are to: 1) Develop a unique publicly available digital speech resource with...
- 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 $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 $155,811 Project Grant awarded by the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports research on how people adapt to and track patterns in language reference and interpretation. The University of North Carolina at Chapel Hill is conducting this research project from March 2025 to August 2028. The study aims to examine how humans develop robust mechanisms for understanding language in context by tracking patterns in reference, such as...
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 conversational contexts. The research methodology involves collecting cognitive data, including eye-gaze measurements, to understand how grammar, word meanings, and context interact in language processing. The findings are expected to provide insights to improve artificial intelligence language models and translation software, as well as have potential applications in biotechnology and neuroscience. As the lead institution, Northwestern University will leverage its extensive expertise in conducting complex interdisciplinary research to execute this project.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $228.0k | 8/21/25 |