At present I am working towards my PhD in Computer Science at the University of Maryland, College Park. I am currently funded as graduate research assistant in the Computational Linguistics and Information Processing (CLIP) Lab, and am working with (and funded by) BBN, working in the area of speech regcognition and machine translation. My advisors are Bonnie Dorr (from UMD) and Rich Schwartz (from BBN). My Master's work at Washington University in the department of Computer Science concerned the unsupervised learning of morphology. My advisor there was Michael Brent. Incidentally both Bonnie Dorr and Michael Brent were students of Robert Berwick at MIT.

Conference Papers

• Language and Translation Model Adaptation using Comparable Corpora [PDF]
  Matthew Snover, Bonnie J. Dorr, and Richard Schwartz.
  Proceedings of the Conference on Empirical Methods in Natural Language Processing 2008 (EMNLP 2008), 2008.
• A Study of Translation Edit Rate with Targeted Human Annotation [PDF] [Slides PDF] [Slides PPT]
  Matthew Snover, Bonnie J. Dorr, Richard Schwartz, Linnea Micciulla, and John Makhoul.
  Proceedings of Association for Machine Translation in the Americas, 2006.
• PCFGs with Syntactic and Prosodic Indicators of Speech Repairs [PDF]
  John Hale, Izhak Shafran, Lisa Yung, Bonnie Dorr, Mary Harper, Anna Krasnyanskaya, Matthew Lease, Yang Liu, Brian Roark, Matthew Snover, and Robin Stewart
  Proceedings of the Association of Computational Linguistics 2006 (ACL 2006), 2006.
• Reranking for Sentence Boundary Detection in Conversational Speech [PDF]
  Brian Roark, Yang Liu, Mary Harper, Robin Stewart, Matthew Lease, Matthew Snover, Izhak Shafran, Bonnie J. Dorr, John Hale, Anna Krasnyanskaya, and Lisa Yung,
  Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006), Toulouse France, 2006.
• Sparseval: Evaluation Metrics for Parsing Speech [PDF]
  Mary Harper, Brian Roark, Yang Liu, Robin Stewart, Matthew Lease, Matthew Snover, Izhak Shafran, Bonnie J. Dorr, John Hale, Anna Krasnyanskaya, and Lisa Yung,
  Proceedings of the International conference on Language Resources and Evaluation (LREC 2006), Genoa, Italy, 2006.
• RT-S: Surface Rich Transcription Scoring, Methodology, and Initial Results [PDF]
  Matthew Snover, Richard Schwartz, Bonnie Dorr, and John Makhoul, 2004.
  Proceedings of the Rich Transcription 2004 Workshop.
• A Lexically-Driven Algorithm for Disfluency Detection [PDF]
  Matthew Snover, Bonnie Dorr, and Richard Schwartz, 2004.
  Short Paper Proceedings of North American Association for Computational Linguistics (NAACL) and Human Language Technology (HLT) Conference 2004
• A Probabilistic Model for Learning Concatenative Morphology [PS] [PDF] [POSTER PDF]
  Matthew Snover and Michael Brent. 2002.
  Proceedings of NIPS 2002.
• Unsupervised Learning of Morphology Using a Novel Directed Search Algorithm: Taking the First Step [PS] [PDF]
  Matthew Snover, Gaja Jarosz, and Michael Brent. 2002.
  Association for Computational Linguistics (ACL-2002): Workshop on Morphological and Phonological Learning.
• A Bayesian Model for Morpheme and Paradigm Identification [PS] [PDF]
  Matthew Snover and Michael Brent. 2001.
  Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics (ACL-2001), pages 482-490.

Theses

• An Unsupervised Knowledge Free Algorithm for the Learning of Morphology in Natural Languages [PS] [PDF]
  Matthew Snover. 2002.
  Washington University MS Thesis
  Thesis Committee: Michael Brent, Sally Goldman, and Stan Kwasny.

Technical Reports and Others

• Final Report on Parsing and Spoken Structural Event Detection [PDF]
  Harper, Mary Harper, Bonnie J. Dorr, John Hale, Brian Roark, Izhak Shafran, Matthew Lease, Yang Liu, Matthew Snover, Lisa Yung, Anna Krasnyanskaya, Robin Stewart, "Final Report on Parsing and Spoken Structural Event Detection", 2005 Johns Hopkins Summer Workshop, 2005.
• A Study of Translation Error Rate with Targeted Human Annotation [PDF]
  Snover, Matthew, Bonnie J. Dorr, Richard Schwartz, John Makhoul, Linnea Micciulla, Ralph Weischedel, "A Study of Translation Error Rate with Targeted Human Annotation," LAMP-TR-126, CS-TR-4755, UMIACS-TR-2005-58, University of Maryland, College Park, MD July, 2005.

Software

• Translation Error Rate (TER) Computation [Software Page]
  I have written several pieces of code to compute Translation Error Rate (or TER), an error measure for machine translation that is currently in use in the GALE research program. This code has been adopted by NIST as the official evaluation software.
• TER-Plus (TERp) [Software Page]
  An enhancement to TER that uses morphological information, synonymy, paraphrases, and optimized edit costs to improve correlation with human judgments of translation quality.

Fall 2002 - I was a TA for CMSC 330, taught by Larry Herman
In the past I have been a teaching assistant for the following courses at Washington University:
CS 201: Formal Foundations of Computer Science (2 semesters)
CS 342: Object-Oriented Software Development Laboratory
CS 455: Programming Systems and Languages (4 semesters)
CS 504: Programming Concepts and Practice

Matthew G. Snover / snover@cs.umd.edu