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Chris Dyer

职称:Assistant Professor

所属学校:Carnegie Mellon University

所属院系:linguistic

所属专业:Linguistics

联系方式:

简介

My research interests lie at or near the intersection of machine learning, natural language processing, and linguistics. A unifying theme of much of my work is multilinguality. Some current topics of interest are: Machine translation Neural network models for language processing Computational morphology and phonology NLP on noisy text (Twitter, Sina Weibo, etc.) Language modeling Feature induction and representation learning Unsupervised and semi-supervised learning Bayesian techniques Big data algorithms Probabilistic music models I'm currently supported by grants from: The National Science Foundation (Lexical Borrowing) DARPA (LORELEI) Google (A Hybrid Neural–Phrase-Based Model for Machine Translation) The Army Research Office (MT/NLP for Low-Resource Languages)

职业经历

Fall 2015 - 11-763 Structured Prediction Fall 2015 - 11-711 Algorithms for NLP (with Miguel Ballesteros and Bob Frederking) Spring 2015 - 11-731 Machine Translation (with Alon Lavie) Spring 2015 - 11-411/611 Natural Language Processing (with Alan W Black and Shomir Wilson). Fall 2014 - 11-711 Algorithms for NLP (with Alon Lavie and Bob Frederking) Spring 2014 - 11-731 Machine Translation (with Alon Lavie) Spring 2014 - Undergraduate Natural Language Processing Spring 2014 - Advanced MT Seminar Fall 2013 - 10-710/11-763 Structured Prediction for Language and Other Discrete Data (with Noah Smith) Fall 2013 - 11-732 Self-Paced Lab: MT Spring 2013 - 11-731 Machine Translation (with Alon Lavie) Fall 2012 - 11-732 Self-Paced Lab: MT Spring 2011 - 11-411 Natural Language Processing (with Alan W. Black)

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