Daniel Albro

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Dr. Daniel Albro is the Chief Scientist of Cognition Technologies. He received his Ph.D. in Computational Linguistics from the University of California, Los Angeles, and his Bachelor's of Science in Computer Science and Computer Engineering from the Massachusetts Institute of Technology. His research outside of Cognition Technologies has involved finite state phonology, efficient chart parsing of n-multiple context-free grammars (MCFGs), the intersection of MCFGs with weighted finite state machines, machine learning of phonological grammars, and implementation of phonological frameworks. The machine learning work involved data compression via the Minimum Description Length framework. Dr. Albro continued his development work on compression techniques at Cognition Technologies, where it has been used to create a massively scalable indexing architecture for the Company's Search engine. Currently, Dr. Albro heads Cognition Technologies' Natural Language Processing group.

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