Chris DyerAssistant Professor

My research interests lie at or near the intersection of machine learning, natural language processing, and linguistics. A unifying theme of much of my work is multilinguality. Some current topics of interest are:
Machine translation
Neural network models for language processing
Computational morphology and phonology
NLP on noisy text (Twitter, Sina Weibo, etc.)
Language modeling
Feature induction and representation learning
Unsupervised and semi-supervised learning
Bayesian techniques
Big data algorithms
Probabilistic music models