The goal of our lab is to understand how language works in minds and machines.
What representations and algorithms support language learning, comprehension, and production?
How does language interact with other forms of knowledge and reasoning?
And how can our understanding of human cognition help us develop better systems of artificial intelligence?
Our work approaches these questions from many angles, including machine learning, behavioral experiments, and corpus analyses.
We use computational methods to gain a deeper understanding of the human mind,
and we use psycholinguistics to evaluate and improve the abilities of artificial models.
For more details about our research, take a look at our Publications.
To learn about getting involved, please see our Members page.