Sarah Moeller

Assistant Professor Of Computational Language Science

Gainesville, Florida, United States
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Summary

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Sarah Moeller is an Assistant Professor of Computational Language Science with a decade of experience bridging NLP research, linguistic theory, and language documentation, particularly for low-resource languages. Her work spans computational semantics, meaning representation (VerbNet, PropBank, AMR), and practical annotation workflow design informed by prior industry and DARPA-funded projects. She has a strong teaching and mentorship record—training undergraduates and managing annotation teams—while also initiating applied research such as ASR and TTS in field settings. Fluent in both academic and product-oriented environments, she brings expertise from roles at the University of Florida, research labs, and language technology firms to create reproducible tools and standards for semantic analysis. A PhD in Linguistics and Cognitive Science with international experience (including Moscow State University) gives her a rare combination of deep theoretical grounding and hands-on engineering instincts.
code10 years of coding experience
job4 years of employment as a software developer
bookMaster's degree, Applied Linguistics, Master's degree, Applied Linguistics at Dallas International University
bookBachelor's degree, History, Bachelor's degree, History at Thomas Edison State College
bookDoctor of Philosophy (Ph.D.), Linguistics and Cognitive Science, Doctor of Philosophy (Ph.D.), Linguistics and Cognitive Science at University of Colorado Boulder
bookLomonosov Moscow State University
languagesEnglish, Russian, German, Georgian, French, koine greek
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Github Skills (23)

dictionary10
intelligent9
fst8
linguistics5
topic-modeling4
language-processing4
nlp4
natural-language-processing3
spelling3
phonetics3
thai3
flex2
affix2
hyphenation2
turkish2

Programming languages (6)

TypeScriptC#CSSJavaScriptJupyter NotebookPython

Github contributions (5)

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Start with part of speech tagged FLEx text for automatic predication of morpheme breaks and affix glosses. Trains on as little as 2500 words.
Contributions:4 PRs, 6 pushes, 5 branches in 1 year 7 months
part-of-speechlanguage-processingphoneticsspeech-recognitionspelling
Contributions:2 PRs, 6 pushes, 2 branches in 1 year 5 months
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