Portrait of Michel Galley

Michel Galley

Researcher

About

I am a Researcher at Microsoft Research Redmond, and my main research interests are in text-to-text natural language processing (NLP) applications, in particular Statistical Machine Translation and Summarization. Prior to joining Microsoft, I was a Research Associate in the CS department at Stanford University, working with Christopher Manning and Dan Jurafsky. I was a member of the Stanford Natural Language Processing Group, which is part of the Stanford Artificial Intelligence Laboratory (SAIL). In September 2007, I completed my Ph.D. at Columbia University, where I worked on speech summarization and text-to-text generation with Kathleen McKeown. During my graduate school years, I have also done work on syntactic machine translation with Kevin Knight and Daniel Marcu at USC/ISI and SDL Language Weaver. Before graduate school, I was a research consultant in the Spoken Dialogue Systems group at Bell Labs, Murray Hill.

Projects

Data-Driven Conversation

This project aims to enable people to converse with their devices. We are trying to teach devices to engage with humans using human language in ways that appear seamless and natural to humans. Our research focuses on statistical methods by…

Recurrent Neural Networks for Language Processing

Established: November 23, 2012

This project focuses on advancing the state-of-the-art in language processing with recurrent neural networks. We are currently applying these to language modeling, machine translation, speech recognition, language understanding and meaning representation. A special interest in is adding side-channels of information…

Machine Translation

Established: January 18, 2002

The principal focus of the Natural Language Processing group is to build a machine translation system that automatically learns translation mappings from bilingual corpora. <h1>Overview</h1> Machine Translation (MT) project at Microsoft Research is focused on creating MT systems and technologies…

Publications

2015

deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets
Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan, in Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), Association for Computational Linguistics, July 1, 2015, View abstract, View external link

2014

2013

2012

2011

2010

2009

2008

2005

2004

2003

2001

Other