Project Grant 2301936
- This $285,326 Project Grant awarded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program funds a 3-year community-driven documentation project focused on critically endangered, rarely studied, and infrequently documented languages. The project aims to produce transcribed and translated narratives in an open-access, permanently archived collection, develop a research-enriched, community-based interactive multimedia learning site, and conduct...
- This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $391,927 to document the morphologically complex endangered language spoken by elders in a community where it is in contact with another indigenous language. The key objectives are to create a digital corpus capturing the naturalistic use of the endangered language by fluent elder speakers and to analyze the language's directional systems expressed...
- This $296,804 EAGER grant awarded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support the development of new natural language processing tools and language models for an endangered language. The project at the University of Hawaii at Manoa will first collect and consolidate language data, then train machine translation systems to translate text both into and out of the endangered language. The project will also investigate...
- 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) Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $106,179 to the University of Arizona to advance the development of technologies that support documentation and revitalization of endangered indigenous languages. The project aims to build capacity and infrastructure to create effective, durable, and appropriate language-related technologies within indigenous communities. Key products and services include:...
- This Project Grant award from the National Science Foundation Division of Behavioral and Cognitive Sciences provides $449,712 to the University of Georgia Research Foundation to document and analyze endangered language varieties spoken in a linguistically diverse border region as part of the NSF Dynamic Language Infrastructure - NEH Documenting Endangered Languages program (CFDA 47.075, Social, Behavioral, and Economic Sciences). The award period is from September 1, 2022 to August 31, 2025....
- This $139,801 National Science Foundation project grant supports the University of Texas at Austin in documenting an endangered language variety spoken in rural villages. Over a two-year period ending June 2024, the university will interview native speakers to create a grammar of the traditional language and conduct detailed linguistic analysis. This work under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075) aims to advance understanding of contact-driven linguistic...
- 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...
- 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...
- 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...
The Endangered Language Fund, Inc. received a $251,929 project grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) to develop an indigenous language database project. Through this three-year award ending in August 2026, the Endangered Language Fund will compile invaluable language resources for an endangered Native American language. These include a grammar, dictionary, collection of oral literature translated and analyzed, and materials to support language nests where the language can be used and nurtured. The database and accompanying resources will be delivered to the indigenous community. For other languages in the region, the project provides an example for creating similar databases to enable more complete reconstruction of the earliest inhabitants' linguistic history. This award supports the National Science Foundation's mission to advance basic research and education in the social and behavioral sciences.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $251.9k | 5/25/23 |