Brian Delaney

Brian Delaney
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Main area of research
Natural language & AI

Brian Delaney is a manager in the Clinical Language Understanding group with research interests in the areas of machine learning and natural language processing. Prior to joining Nuance, Brian was a Member of the Technical Staff at MIT Lincoln Laboratory. His current areas of research are in information extraction from clinical documentation including document structure, entity detection, relation extraction, and normalization of clinical concepts.   He has a B.S. in Computer Engineering from the Georgia Institute of Technology, and an M.S. and Ph.D. in Electrical Engineering also from the Georgia Institute of Technology.

Selected articles

Energy aware speech recognition for mobile devices

As portable electronic devices move to smaller form-factors with more features, one challenge is managing and optimizing battery lifetime. Unfortunately, battery technology has not kept

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The MIT-LL/AFRL IWSLT-2007 MT System

The MIT-LL/AFRL MT system implements a standard phrase-based, statistical translation model. It incorporates a number of extensions that improve performance for speech-based translation. During this

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An efficient graph search decoder for phrase-based statistical machine translation

In this paper we describe an efficient implementation of a graph search algorithm for phrase-based statistical machine translation. Our goal was to create a decoder

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The MIT-LL/AFRL IWSLT-2006 MT System

The MIT-LL/AFRL MT system is a statistical phrase-based translation system that implements many modern SMT training and decoding techniques. Our system was designed with the

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Increased robustness against bit errors for distributed speech recognition in wireless environments

In distributed speech recognition, the speech features are com­puted on a mobile device, compressed, and sent over a network to a speech recognition server, where

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