Daniel Gildea
Assistant Professor, Computer Science,
University of Rochester.
Member, Center for Language Sciences
and Center for Computation and the Brain.
I'm interested in statistical approaches to natural
language processing, in particular for the tasks of
machine translation and
language understanding.
CV [pdf]
Teaching
Research
See publication list - here are some recent papers:
- Optimizing Grammars for Minimum Dependency Length,
Daniel Gildea and David Temperley.
In Proceedings of the 45th Annual Conference of the Association for Computational Linguistics (ACL-07), 2007.
- Worst-Case Synchronous Grammar Rules,
Daniel Gildea and Daniel Stefankovic.
In Proceedings of the 2007 Meeting of the North American chapter of the Association for Computational Linguistics (NAACL-07),
2007.
- Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation,
Ding Liu and Daniel Gildea.
In Proceedings of the 2007 Meeting of the North American chapter of the Association for Computational Linguistics (NAACL-07),
2007.
- Enumeration of Factorizable Multi-Dimensional Permutations,
Hao Zhang and Daniel Gildea.
Journal of Integer Sequences, 07(5.8), 2007.
- Factorization of Synchronous Context-Free Grammars in Linear Time,
Hao Zhang and Daniel Gildea.
In NAACL Workshop on Syntax and Structure in Statistical Translation (SSST), 2007.
Other Stuff
My favorite decoder; my favorite integer sequence.
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gildea @ cs rochester edu
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August 26, 2008
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