The Artificial Intelligence (AI) faculty in Toronto works in several primary sub-areas of the field—computational linguistics, knowledge representation and reasoning, robotics, planning, computer vision and machine learning/neural networks. We have 14 full-time faculty members whose research spans these areas and more, and offer over a dozen graduate courses to help students develop and expand their knowledge and expertise.
The sub-area of AI concerned with human languages (“natural languages”) is computational linguistics. Researchers in this area are interested in developing programs that can “understand” and generate natural language. “Understanding” involves parsing linguistic input, determining its literal and non-literal meaning and representing the meaning in a computational formalism; generation reverses this process. Research in this area is now being applied in commercial systems for tasks such as automatic or semi-automatic translation from one language to another