The Machine Learning for Endangered Language Documentation (MELD) Lab is directed by Sarah Moeller (smoeller@ufl.edu). It is dedicated to the advancement of natural human language technology, the documentation and description of languages from a computational perspective, and a richer and more accurate representation of all the world’s 7000+ languages in all fields related to artificial intelligence (AI). Read more
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ComputEL-8 Workshop
Eighth Workshop on the Use of Computational Methods in the Study of Endangered Languages (ComputEL-8) Read to the end for guidelines for Special Session submissions. First Call for Papers for Regular Session We invite submissions to the 8th workshop on the Use of Computational Methods in the Study of Endangered Languages, by October 7, 2024. The […]
Sarah Moeller Awarded ACLS Digital Justice Development Grant
UF Linguistics is proud to announce that Dr. Sarah Moeller has been awarded a 2024 ACLS Digital Justice Development Grant.
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Paper by Linguistics Alumna Presented at COLING-LREC 2024
Congratulations to Linguistics BA 2024 alumna and AI Scholar Wilermine Previlon, whose paper titled, “Leveraging Syntactic Dependencies in Disambiguation: The Case of African American English” was presented at the LREC-COLING 2024 – The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation in Turin, Italy. This paper is based on Wilermine’s AI Scholars […]
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