Research
Advancing how machines understand and generate human language across speech, text, and translation.
The goal of this project is to teach a computer to read and answer general questions pertaining to a document. We recently released a large scale MRC dataset, MS MARCO. We developed a ReasoNet model…
The vision of the researchers at the Microsoft Research Montreal lab is to create machines that can comprehend, reason and communicate with humans. As part of this vision, our dialogue team has been doing research…
Two of the most important components of speech recognition systems are the acoustic model and the language model. Those models behind Microsoft’s speech recognition engine have been optimized for certain usage scenarios, such as interacting…
As the interaction over the web has increased, incidents of aggression and related events like trolling, cyberbullying, flaming, hate speech, etc. too have increased manifold across the globe. While most of these behaviours like bullying…
Voice-driven automated agents such as personal assistants are becoming increasingly popular. However, in a multilingual and multi-cultural country like India, deploying such agents to engage with large sections of the population is highly challenging. A…
