Harvard NLP studies machine learning methods for processing and generating human language. As a group, we are interested in mathematical models of sequence generation, the challenges of artificial intelligence grounded in human language, and the exploration of linguistic structure with statistical and neural tools.

Our group's research publications and open-source projects span all aspects of natural language processing, including foundational work in computational linguistics, machine learning for human-like language understanding, and the development of tools and methodologies that advance both theoretical and applied aspects of NLP.