Project Grant 2507597
- 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 $160,000 Project Grant awarded by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a postdoctoral fellowship to investigate how children develop communicative competence through peer interactions. The key objectives are to collect and analyze a large dataset of child-child conversations, develop computational models comparing communicative acts across adult-adult, parent-child, and child-child contexts, and conduct...
- This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $160,000 supports an early career scientist's postdoctoral research at Harvard University investigating the potential role of overheard speech in children's language development. The research aims to thoroughly characterize everyday overheard and child-directed speech, and to understand how speech directed to different addressees may facilitate language learning. Using both...
- This National Science Foundation (NSF) Project Grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $425,748 to The Trustees of the University of Pennsylvania, doing business as Clinical Practices of the University of Pennsylvania, to study how infants begin learning language. The project will use observational methods and computer modeling to evaluate infants' understanding of speech from their parents, with the goal of creating a large annotated database...
- This National Science Foundation project grant of $550,000 supports research to evaluate computational models of infant language acquisition against experimental data on English- and Spanish-learning infants. Funded under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), the award will enable researchers at the University of California, Los Angeles to directly compare the output of different computational word segmentation models to infant behavioral data on the acquisition 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 National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Postdoctoral Research Fellowship award in the amount of $160,000 supports a two-year research project examining how children aged 7-12 understand and trust the capabilities of generative AI chatbots. The research involves a mixed-methods study across two phases - an initial experiment to assess children's trust in AI vs. human-provided information and their ability to identify common AI chatbot errors,...
- This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $407,738 to Vanderbilt University to investigate the factors that influence how humans speak and understand language. The project aims to gain a better understanding of how an individual's experience with language, such as reading habits and exposure to different text types, impacts their language processing abilities. Through two main experiments, the research...
- 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 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 $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 language abilities change over time. The research has the potential for broad societal impact by providing tools for educational research, generating open data resources, and informing interventions to support children's language development. The award period is from January 15, 2026 to December 31, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $160.0k | 8/25/25 |