My research interests lie at the intersection of machine learning and computational linguistics. I apply machine learning techniques, such as graphical models, to a range of problems relating to the understanding, learning and manipulation of language. Recently I have focused on structural induction problems such as grammar induction and learning statistical machine translation models.
Previously I was a Research Fellow in the School of Informatics at the University of Edinburgh, and part of the Machine Translation research group. There I worked on the application of machine learning techniques to machine translation with Miles Osborne. Before that I completed my PhD at the University of Melbourne, Australia, under the supervision of Timothy Baldwin, Steven Bird and James Curran.
Recurrent Continuous Translation Models
Nal Kalchbrenner and Phil Blunsom
Seattle. October, 2013. Association for Computational Linguistics.
Adaptor Grammars for Learning Non−Concatenative Morphology
Jan A. Botha and Phil Blunsom
In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. Pages 345−356. Seattle‚ Washington‚ USA. October, 2013. Association for Computational Linguistics.
The Role of Syntax in Vector Space Models of Compositional Semantics
Karl Moritz Hermann and Phil Blunsom
In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Pages 894–904. Sofia‚ Bulgaria. August, 2013. Association for Computational Linguistics.