Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Projet
Contextual Representation for Natural Language Understanding
Neural Machine Translation provides very useful representation for the language in context. The sentences and words representation leaned from Neural Machine translation models can be efficiently used to boost the performance of many Natural Language…
Projet
Semi-Supervised Universal Neural Machine Translation
Machine translation has become a crucial component for enabling global communication. Millions of people are using online translation systems and mobile applications to communicate across language barriers. Machine translation has made rapid advances in recent…
Projet
Neural Machine Translation of Spoken-Dialects
Spoken language translation is usually limited by the non-availability of the parallel data. We generate synthetic data for Neural Machine Translation of Spoken-Dialects. We introduce a novel approach to generate synthetic data for training Neural…
Projet
Neural Machine Translation
We are using Neural Machine Translation (NMT) to achieve state-of-the-art translation performance. We are working on large scale / real-time translation systems to support high quality translation for various languages. We used LSTM Sequence-to-Sequence models.…
Blog de recherche Microsoft
Class of 2018-19 PhD fellows to push frontiers of AI
Class of 2018-19 PhD fellows to push frontiers of AI By Sandy Blyth A graduate student working on technology that leverages human brain signals to accelerate robot learning and another student who is developing models…
Publication