Human language technologies
Researching software and systems that bridge the linguistic divide between people and machines to make communicating with computers as natural as speaking with family and friends.
Video
Redesiging Neural Architectures for Sequence to Sequence Learning
The Encoder-Decoder model with soft-attention is now the defacto standard for sequence to sequence learning, having enjoyed early success in tasks like translation, error correction, and speech recognition. In this talk, I will present a…
Video
Learning Challenges in Natural Language Processing
As the availability of data for language learning grows, the role of linguistic structure is under scrutiny. At the same time, it is imperative to closely inspect patterns in data which might present loopholes for…
Microsoft Research Blog
Microsoft Ability Initiative: A collaborative quest to innovate in image captioning for people who are blind or with low vision
Microsoft is committed to pushing the boundaries of technology to improve and positively influence all parts of society. Recent advances in deep learning and related AI techniques have resulted in significant strides in automated image…
Microsoft Research Blog
Microsoft Research 2018: 10 memorable blogs topping a year of open source and innovation
The year’s end is an opportunity to reflect on what was achieved and to resolve to aspire to even greater heights in the one that’s about to begin. Looking back on what was accomplished at…
Publication