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:
- Extracting Synchronous Grammar Rules From Word-Level Alignments in Linear
Time,
Hao Zhang, Daniel Gildea, and David Chiang.
In Proceedings of the 22nd International Conference on Computational
Linguistics (COLING-08), Manchester, UK, 2008.
- Efficient Multi-pass Decoding for Synchronous Context Free Grammars,
Hao Zhang and Daniel Gildea.
In Proceedings of the 46th Annual Meeting of the Association for
Computational Linguistics (ACL-08), Columbus, Ohio, 2008.
- Bayesian Learning of Non-compositional Phrases with Synchronous
Parsing,
Hao Zhang, Chris Quirk, Robert C. Moore, and Daniel Gildea.
In Proceedings of the 46th Annual Meeting of the Association for
Computational Linguistics (ACL-08), Columbus, Ohio, 2008.
- Parsers as language models for statistical machine translation,
Matt Post and Daniel Gildea.
In The Eighth Conference of the Association for Machine Translation in the
Americas (AMTA 2008), 2008.
Other Stuff
My group; my favorite decoder; my favorite integer sequence.
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gildea @ cs rochester edu
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October 9, 2008
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