Research
Advancing how machines understand and generate human language across speech, text, and translation.
The Machine Comprehension team at MSR-Montreal recently developed a neural mechanism for metalearning that we call conditionally shifted neurons. Conditionally shifted neurons (CSNs) adapt their activation values rapidly to new data to help neural networks…
In the past few years, accessibility has increasingly become a focus of interest in the realm of technology. This is no more true than with the modern developments of AI Technology. However, with AI technology…
Machine translation has made rapid advances in recent years. In this talk we describe recent advances of Microsoft’s machine translation system using Neural Machine Translation that lead to achieving a new state-of-the-art, and achieving human…
Released in preview this week at Build 2018, the new Microsoft Translator custom feature lets users customize neural machine translation systems. These customizations can be applied to both text and speech translation workflows. Microsoft Translator…
Generative models are an important subset of machine learning goals and tasks that require realistic and statistically accurate generation of target data. Among all available generative models, generative adversarial networks (GANs) have emerged recently as…
The fifth Pacific Northwest Regional Natural Language Processing Workshop will be held on Friday April 27, 2018, in Redmond, WA. We accepted abstracts and papers on all aspects of natural language text and speech processing,…
