Human language technologies
Advancing how machines understand and generate human language across speech, text, and translation.
Explorations on Multi-lingual Neural Machine Translation
Deep (recurrent) neural networks has been shown to successfully learn complex mappings between arbitrary length input and output sequences, within the effective framework of encoder-decoder networks. We investigate the extensions of this sequence to sequence…
Automatic Speech Emotion Recognition Using Recurrent Neural Networks with Local Attention
Automatic emotion recognition from speech is a challenging task which significantly relies on the emotional relevance of specific features extracted from the speech signal. In this study, our goal is to use deep learning to…
Microsoft NLP researchers converge at ACL 2016, edging ever closer to human-like conversational experiences
By Bill Dolan, Principal Researcher, Microsoft Research This year, the annual meeting of the Association for Computational Linguistics (ACL) will be held in Berlin, Germany, August 7-12, 2016, at Humboldt University. ACL is the premier…