Daniel Gildea
Associate 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:
- Unsupervised Tokenization for Machine Translation,
Tagyoung Chung and Daniel Gildea.
In Conference on Empirical Methods in Natural Language Processing (EMNLP-09), Singapore, 2009.
- Bayesian learning of Phrasal Tree-to-String Templates,
Ding Liu and Daniel Gildea.
In Conference on Empirical Methods in Natural Language Processing (EMNLP-09), Singapore, 2009.
- Bayesian learning of a tree substitution grammar,
Matt Post and Daniel Gildea.
In Association for Computational Linguistics 2009 short paper, Singapore, 2009.
- Weight pushing and binarization for fixed-grammar parsing,
Post, Matt and Daniel Gildea.
In International Conference on Parsing Technologies, Paris, France, October 2009.
Other Stuff
My group; my favorite decoder; my favorite integer sequence.
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gildea @ cs rochester edu
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September 25, 2009
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