Liberal Arts and Sciences
Machine Learning for Endangered Language Documentation Laboratory (MELD)
Led by Sarah Moeller · Linguistics
What we study
The MELD Laboratory, led by Dr. Moeller, develops computational and AI methods to document and describe the world's languages, especially endangered and minority languages, including a corpus of African American Language from Gulf South oral histories.
What working here is like
- Computational
- Coding required
- Project
- 1
- Papers
- 5
Current projects
Reanimating African American Oral Histories of the Gulf South
Developing an open-access web tool to enhance public engagement with African American language oral histories.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Computational Methods for Language Documentation and Description
2026 · Annual Review of Linguistics
Reviews computational methods for language documentation and description.
- A Meeting of Two Worlds—Oral History and Linguistics: Partnerships, Perplexities, and Potentialities in Researching African American Language
2025 · The Oral History Review
Explores how linguistics and oral history complement each other in studying African American Language.
Show 3 more papersShow fewer
- Compiling a corpus of African American Language from oral histories
2024 · Research in Corpus Linguistics
Creates a time-aligned, linguistically annotated corpus from African American oral histories.
- Designing a Uniform Meaning Representation for Natural Language Processing
2021 · Künstliche Intell.
- Computational Morphology for Language Documentation and Description
2021 · Colorado research in linguistics
Examines computational methods for detecting morphology in small, noisy datasets.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
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