Research
Advancing how machines understand and generate human language across speech, text, and translation.
Machine reading automates knowledge extraction from text. Traditional machine learning methods are hindered by the scarcity of annotated examples, which motivates the development of modern approaches that leverage “free lunches” such as existing ontologies and…
Sequence-to-sequence deep learning has recently emerged as a new paradigm in supervised learning for spoken language understanding. However, most of the previous studies explored this framework for building single domain models for each task, such…
The goal of Project Mélange is to understand the uses of and build tools around code-mixing, analyze and understand code-switching behavior, and equip speech and language processing systems with the capabilities of processing, understanding and…
By Guobin Wu, Senior Research Program Manager, Microsoft Research Asia What does it take to make it to the “decisive round for the finest few” in the Beauty of Programming Contest 2016? Earlier this year,…
The Natural Language Processing group focuses on developing efficient algorithms to process text and to make their information accessible to computer applications. The goal of the group is to design and build software that will…
