Edinburgh Research Explorer

Research Interests

I develop computational models of natural language learning, understanding and generation in people and machines, and my research focuses on basic scientific, mathematical, and engineering problems related to these models. I am especially interested in models that handle the diversity of morphological, syntactic, and semantic phenomena across the world’s languages.

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

Research outputs

  1. Inflecting when there’s no majority: Limitations of encoder-decoder neural networks as cognitive models for German plurals

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

  2. Cross-Lingual Topic Prediction for Speech Using Translations

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

  3. A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages

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

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ID: 19884477