Edinburgh Research Explorer

Dr Rico Sennrich

Lecturer in Machine Learning

Research Interests

Statistical Machine Translation, neural machine translation, models and algorithms for syntax-based SMT, morphology, domain adaptation, sentence alignment, dependency parsing, neural models for NLP, Structured machine learning models for NLP.

Qualifications

2013, PhD in Computational Linguistics. Researcher in project Domain-specific Statistical Machine Translation

Biography

Rico Sennrich is a Lecturer in Machine Learning at the University of Edinburgh, where he has worked since 2013. He received his Ph.D. in Computational Linguistics from the University of Zurich in 2013. He works on data-driven natural language processing, in particular machine translation, syntax and morphology. 

Research outputs

  1. Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation

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

  2. In Neural Machine Translation, What Does Transfer Learning Transfer?

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

  3. On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation

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

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