Research
Advancing how machines understand and generate human language across speech, text, and translation.
Various types of how-to-knowledge are encoded in natural language instructions: from setting up a tent, to preparing a dish for dinner, and to executing biology lab experiments. These types of instructions are based on procedural…
Machine learning-based natural language processing systems are amazingly effective, when plentiful labeled training data exists for the task/domain of interest. Unfortunately, for broad coverage (both in task and domain) language understanding, we’re unlikely to ever…
Speech technologies exist for many high resource languages, and attempts are being made to reach the next billion users by building resources and systems for many more languages. In the past, the main focus of…
A powerful, but limited, way to view software is as source code alone. Mathematical techniques, such as abstract interpretation and model checking, can indicate whether the program satisfies a formal specification. But, where does the…
This ongoing project aims to drive the state of the art in speech recognition toward matching, and ultimately surpassing, humans, with a focus on unconstrained conversational speech. The goal is a moving target as the…
