
Department of Engineering 


Dr. Graeme Blackwood
I am now working for IBM Research in the Natural Language Processing group at the Watson Research Center in Yorktown Heights, New York. My new home page can be found here
Cambridge University
Graeme Blackwood was a postdoctoral Research Associate in the
Machine Intelligence Laboratory of
Cambridge University Engineering Department
under the supervision of Dr. Bill Byrne.
In 2005 he graduated with an M.Phil. in
Computer Speech, Text and Internet Technology
from the Computer Laboratory of
Cambridge University.
In 2006 he continued as a Ph.D. research student studying statistical machine translation.
Graeme's Ph.D. thesis title is "Lattice Rescoring Methods
for Statistical Machine Translation".
Research Interests
 Statistical Machine Translation
 Statistical Language Modelling
Research Projects
 AGILE  Autonomous Global Integrated Language Exploitation
Publications and Presentations

Blackwood, G. (2011).
Minimum Bayesrisk lattice rescoring methods for statistical machine translation.
NLIP Seminar Series, Cambridge University Computer Laboratory. May 2011. Invited Talk.
[slides]

Blackwood, G. (2010).
Lattice rescoring methods for statistical machine translation.
Ph.D. Thesis. Cambridge University Engineering Department and
Clare College.
[pdf  summary]

de Gispert, A., Iglesias, G., Blackwood, G., Banga, E. R., and Byrne, W. (2010).
Hierarchical phrasebased translation with weighted finite state transducers and shallown grammars.
In Computational Linguistics. Issue 36(3), September 2010. Association for Computational Linguistics.
[pdf  bib]

Blackwood, G., de Gispert, A., and Byrne, W. (2010).
Fluency constraints for minimum Bayesrisk decoding of statistical machine translation lattices.
In Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010).
[pdf  bib  slides]

Blackwood, G., de Gispert, A., and Byrne, W. (2010).
Efficient path counting transducers for minimum Bayesrisk decoding of statistical machine translation lattices.
In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010).
[pdf  bib  poster  slides  example]

Pino, J., Iglesias, G., de Gispert, A., Blackwood, G., Brunning, J. and Byrne, W. (2010).
The CUED HiFST system for the WMT10 translation shared task.
In Proceedings of the ACL 2010 Joint Fifth Workshop on Statistical Machine Translation and Metrics MATR.
[pdf  bib  poster]

Kurimo, M., Virpioja, S., Turunen, V. T., Blackwood, G.W., and Byrne,W. (2009).
Overview and results of morpho challenge 2009.
In Multilingual Information Access Evaluation Vol. III, 10th Workshop of the CrossLanguage Evaluation Forum, CLEF 2009, Corfu, Greece. Springer Lecture Notes in Computer Science.
[pdf  bib]

de Gispert, A., Iglesias, G., Blackwood, G., Brunning, J., and Byrne, W. (2009).
The CUED NIST 2009 ArabicEnglish SMT System.
NIST Open Machine Translation 2009 Evaluation (MT09) Workshop, August 2009.
[slides]

Blackwood, G., de Gispert, A., and Byrne, W. (2008).
Phrasal segmentation models for statistical machine translation.
In Proceedings of the 22nd International Conference on Computational Linguistics (COLING), Manchester, UK, August 2008.
[pdf  bib  poster]

Blackwood, G., de Gispert, A., Brunning, J., and Byrne, W. (2008).
Largescale statistical machine translation with weighted finite state transducers.
In FSMNLP 2008  FiniteState Methods and Natural Language Processing, Ispra, Lago Maggiore, Italy, September 2008.
[pdf  bib]

Blackwood, G., de Gispert, A., Brunning, J., and Byrne, W. (2008).
European language translation with weighted finite state transducers: The CUED MT system for the 2008 ACL workshop on SMT.
In Proceedings of the Third Workshop on Statistical Machine Translation, pages 131134, Columbus, Ohio, June. Association for Computational Linguistics.
[pdf  bib]

de Gispert, A., Blackwood, G., Brunning, J., and Byrne, W. (2008).
The CUED NIST 2008 ArabicEnglish SMT System.
Presented at NIST MT Workshop, March 2008.
[slides]

Blackwood, G. (2005).
Neural networkbased language model for conversational telephone speech recognition.
M.Phil. Thesis. Machine Intelligence Laboratory, Department of Engineering, University of Cambridge.
[pdf  slides]
Contact Details