Austin Matthews

5850 Centre Ave #404 • Pittsburgh, PA 15206 • •

Carnegie Mellon University, Language Technologies Institute - Pittsburgh, PA

Ph.D. in Language Technologies, Expected December 2018

M.S. in Language Technologies, August 2013

University of North Carolina at Chapel Hill – Chapel Hill, NC

B.S. in Computer Science, with distinction, May 2011

B.S. in Mathematics, with distinction, May 2011

Minor in Linguistics, May 2011

Awarded Carolina Scholar 2007-2011

North Carolina School of Science and Mathematics – Durham, NC

High School Diploma, June 2007

• Co-inventor of “Optimized SMT System with Rapid Adaptation Capability”

• My Ph.D. proposal “Linguistic Knowledge for Neural Language Generation and Machine Translation”

• First author on “Incorporating Morphological Knowledge in Open-Vocabulary Neural Language Models”, presented at NAACL 2018

• Co-author on “XNMT: The eXtensible Neural Machine Translation Toolkit”

• Co-author on “DyNet: The Dynamic Neural Network Toolkit”

• First author on “Synthesizing German Compound Words for Machine Translation”, presented at ACL 2016

• Co-author of “Transition-Based Dependency Parsing with Stack Long Short-Term Memory”, presented at ACL 2015

• First author and organizer of “The CMU Machine Translation Systems at WMT 2014”, presented at WMT 2014

• First author of “Tree Transduction Tools for cdec”, presented at Machine Translation Workshop 2014

• First author on “A Bayesian Model for Sense Induction through Translation”, submitted to TACL in December 2013

• Co-author of The CMU machine translation systems at “WMT 2013: Syntax, synthetic translation options, and pseudo-references”, presented at WMT 2013

• Co-author of “Phonotactic Reconstruction of Encrypted VoIP Conversations: Hookt on fon-iks”, presented at the 2011 IEEE Symposium on Security and Privacy

  – Awarded Best Paper at the 2011 IEEE Symposium on Security and Privacy

Research Experience

CMU MT Group Research Assistant, May 2012 - Present

• Incorporation of syntactic information into neural machine translation

• Synthetic generation of morphological variants and compounds

• Bayesian methods for sense induction and word alignment

• Dialect adaptation in English-Arabic syntax-based machine translation

• Tree-to-tree syntax-based architectures for machine translation

• Optimization and parallelization of tree-to-tree translation architectures (resulting in ~12× speedup)

• Advised by Chris Dyer, Graham Neubig and Alon Lavie

Research Internship

DeepMind, May 2017 - August 2017

• Neural models of quantitative reasoning

• Grounded language acquisition in simulated 3-D environments

• Advised by Stephen Clark

Research Internship

University of Helsinki, October 2016 - December 2016

• Incorporating morphological information into attentional models of machine translation

• Information transfer between neural MT systems for related language pairs

• Advised by Jörg Tiedemann

Research Internship

Nara Institute of Science and Technology, August 2015 - October 2015

• Attentional neural models for tree-to-string translation targeting diverse language pairs

• Advised by Graham Neubig

Workshop

Jelinek Summer Workshop on Speech and Language Technology, June 2015 - August 2015

• Attentional neural models for continuous wide-band machine translation

• Source-conditioned neural n-gram-based language models

• Team lead by Trevor Cohn

Research Internship

Microsoft Research, May 2014 - August 2014

• Speech-to-speech machine translation pipelines for Skype Translator

• Capturing long-range dependencies with neural language models

• Advised by Jonathan Clark

Professional Experience

Safaba Translation Solutions Developer, September 2011 - June 2015

• Developed translation systems for over a dozen language pairs for commercial clients

• Developed new methods for correctly mapping structured text format annotations from a source to target language in MT output, resulting in significant gains in fidelity of formatting in MT output

• Developed software to integrate Safaba's translation systems into existing commercial workflow systems

Professional Experience

EvoApp Senior Developer, May 2011 - August 2011

• Developed algorithms to find keywords describing large data sets

• Developed software to analyze emotion in microblog messages

• Developed query-based retrieval system for large bodies of short text

Research Experience

UNC Computer Science Research Assistant, June 2010 – May 2011

• Developed algorithms for reconstruction of natural language data in highly noisy environments

• Researched lingustically-motivated methods to evaluate phonetic errors in ASR systems

• Advised by Fabian Monrose

Professional Experience

EvoApp Senior Developer, January 2009 - August 2009

• Developed web-based customer relationship management software in Silverlight and C#

Study Abroad Experience

Keio University's International Program, September 2008 - August 2009

• Studied Japanese language and culture at Keio University in Tokyo, Japan

Internship

International Business Machines (IBM), May 2008 - September 2008

• Developed a web-based drag-and-drop WYSIWYG form builder UI in Javascript to accompany survey software

• Worked on internal HTML form rendering engine in Java

Internship

Blue Lizard Technologies, June 2007 - August 2007

• Developed an RSS reader in C# .NET