Chris Dyer

Chris Dyer is an Assistant Professor at Carnegie Mellon University's Language Technologies Institute within the School of Computer Science, with affiliated faculty status in the Machine Learning Department. His research focuses on the intersection of machine learning, natural language processing, and linguistics, with multilinguality serving as a unifying theme across his work.

• Office: 5707 Gates-Hillman Complex
• Location: Pittsburgh, PA

Dr. Dyer's research spans multiple areas of NLP and machine learning, with particular emphasis on machine translation, neural network models for language processing, computational morphology and phonology, and NLP applications for noisy social media text. His work frequently addresses challenges in multilingual settings and low-resource language processing.

His research group, the CLab (Computational Linguistics Lab), maintains active collaborations across multiple institutions and has produced significant contributions to the field. The lab has been involved in major projects including work on lexical borrowing, LORELEI (DARPA), and low-resource language processing for the Army Research Office.

• National Science Foundation: Lexical Borrowing project
• DARPA: LORELEI program
• Google: Hybrid Neural-Phrase-Based Model for Machine Translation
• Army Research Office: MT/NLP for Low-Resource Languages

Dr. Dyer has advised numerous graduate students who have gone on to successful careers in both academia and industry. His former students include Eva Schlinger (now at Google), Tobi Owoputi (now at Yelp), and Desai Chen (now at MIT), among others. He has taught courses including Structured Prediction, Algorithms for NLP, Machine Translation, and Natural Language Processing.

Originally from Texas, Dr. Dyer has lived in North Carolina, Berlin, Germany, and Washington D.C. He is also an accomplished cellist.