Edinburgh Research Explorer

Research Interests

Machine translation, multilingual semantics and graph formalisms, low-resource language and speech processing, massively parallel algorithms for natural language processing.

Qualifications

Ph.D. 2008. University of Maryland Department of Computer Science. Advisor: Philip Resnik. Dissertation: Machine Translation by Pattern Matching.

M.S. 2002. University of Maryland Department of Computer Science.

B.S. 1997. Duke University Department of Computer Science.

Biography

Our society is globally connected, but language barriers prevent deeper connections and mutual understanding. To break these barriers, my research group works on multilingual natural language processing (NLP) systems that understand and generate human language. Progress in NLP requires advances in machine learning, computer science, and linguistics. We are interested in many basic research problems in these fields.

Research outputs

  1. A generative parser with a discriminative recognition algorithm

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. From characters to words to in between: Do we capture morphology?

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Spoken Term Discovery for Language Documentation using Translations

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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ID: 19884477