Edinburgh Research Explorer
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Research Interests

Machine Translation, Natural Language Understanding, Low-resource NLP, Unsupervised Learning and Representation Learning for NLP.

Research outputs

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

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

  2. What do character-level models learn about morphology? The case of dependency parsing

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

  3. Explicitly modeling case improves neural dependency parsing

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

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ID: 59667804