Research
Advancing how machines understand and generate human language across speech, text, and translation.
Unlike traditional machine learning methods, humans often learn from natural language instruction. As users become increasingly accustomed to interacting with computer devices using speech, their interest in instructing these devices in natural language is likely…
Microsoft Research Montreal lab’s vision is to create machines that can comprehend, reason and communicate with humans. We see a future where humans interact with machines just as they would with another human. We could…
Marc Marschark, Ph.D. Center for Education Research Partnerships National Technical Institute for the Deaf – Rochester Institute of Technology For more than 100 years, investigators have taken a keen interest in language and cognition of…
Creative language – the sort found in novels, film, and comics – contains a wide range of linguistic phenomena, from phrasal and sentential syntactic complexity to high-level discourse structures such as narrative and character arcs.…
Natural language processing systems build using machine learning techniques are amazingly effective when plentiful labeled training data exists for the task/domain of interest. Unfortunately, for broad coverage (both in task and domain and language) language…
