Aurelien (Rory) Waite
I am a PhD student supervised by Dr. Bill Byrne in the Machine Translation Group at the Cambridge University Engineering Department.
My main interest is lattice-based parameter estimation methods for machine translation models.
I am also interested in improving existing models by using MapReduce and BigTable big data infrastructure
Publications & Reports
- J. Pino, A. Waite, and W. Byrne (2012)
Simple and efficient model filtering in statistical machine translation
The Prague Bulletin of Mathematical Linguistics
- A. Waite, G. Blackwood and W. Byrne (2012)
Lattice-based minimum error rate training using weighted finite-state transducers with tropical polynomial weights
The 10th edition of the International Workshop on Finite State Methods and Natural Language Processing
- A. Waite, G. Blackwood and W. Byrne (2012)
Lattice-based minimum error rate training using weighted finite-state transducers with tropical polynomial weights
Technical Report CUED/F-INFENG/TR.644, University of Cambridge, UK
- Waite A. and W. Byrne (2009)
Hadoop cluster for statistical speech and language processing
MPhil thesis, University of Cambridge, UK
Software
I will soon be releasing a software toolkit to perform minimum error training on word lattices. The toolkit is built upon OpenFst.
Contact
Email: aaw35 AT cam.ac.uk
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