Lori Levin

Lori Levin is a Research Professor at Carnegie Mellon University's Language Technologies Institute (LTI) within the School of Computer Science. Her research focuses on computational linguistics, particularly documenting endangered languages, linguistic typology, and developing multilingual NLP systems for low-resource scenarios. She co-founded and co-chairs the North American Computational Linguistics Olympiad (NACLO) and leads the LLab, which explores human language and computational modeling. Levin teaches advanced linguistics courses including Grammar Formalisms and ConLanging. Her work emphasizes hybrid approaches combining human-engineered linguistic knowledge with machine learning to address data scarcity challenges. Notable projects include the Spoken Mapudungun corpus (Chilean minority language) and the Linguistic-Core Approach for low-resource language analysis.

Research interests span corpus annotation frameworks, interlinear glossing systems, and the application of typological universals to NLP. She has pioneered methodologies for rapid NLP system development in linguistically under-resourced contexts. Levin collaborates internationally on initiatives like the MILE Corpus for Less Commonly Taught Languages and NESPOLE! multilingual speech communication systems.