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
See my group and publications. Here are some recent papers:
- Synchronous context-free grammars and optimal linear parsing strategies,
Pierluigi Crescenzi, Daniel Gildea, Andrea Marino, Gianluca Rossi, and Giorgio Satta.
Journal of Computer and System Sciences, in press, 2015.
- Information Density and Syntactic Repetition,
Temperley, David and Gildea, Daniel.
Cognitive Science, pp. n/a–n/a, 2015.
- Discriminative Unsupervised Alignment of Natural Language Instructions with Corresponding Video Segments,
Iftekhar Naim, Young Chol Song, Qiguang Liu, Liang Huang, Henry Kautz, Jiebo Luo, and Daniel Gildea.
In Proceedings of the 2015 Meeting of the North American chapter of the Association for Computational Linguistics (NAACL-15),
gildea @ cs rochester edu
June 16, 2015