Research Area:
Natural Language Processing
Description
Computational linguistics is the study of computational processes that can comprehend, produce and/or acquire natural language. At Brown we view computational linguistics as lying at the intersection of artificial intelligence and linguistics, and most of our work relies on statistical and machine-learning techniques that are very similar to those used in other areas of AI at Brown. More specifically, we are interested in developing sophisticated statistical models that describe the hidden linguistic (and non-linguistic!) dependencies in sentences and larger units. We use various models of this kind for parsing (i.e., identifying the syntactic structure of a sentence), speech recognition (especially modeling disfluencies in spontaneous speech), machine translation, question-answering and document retrieval.
Faculty
Topics or Projects