The CUED HiFST System for the WMT10 Translation Shared Task

@inproceedings{Pino2010TheCH,
  title={The CUED HiFST System for the WMT10 Translation Shared Task},
  author={Juan Pino and Gonzalo Iglesias and Adri{\`a} de Gispert and Graeme W. Blackwood and Jamie Brunning and William J. Byrne},
  booktitle={WMT@ACL},
  year={2010}
}
This paper describes the Cambridge University Engineering Department submission to the Fifth Workshop on Statistical Machine Translation. We report results for the French-English and Spanish-English shared translation tasks in both directions. The CUED system is based on HiFST, a hierarchical phrase-based decoder implemented using weighted finite-state transducers. In the French-English task, we investigate the use of context-dependent alignment models. We also show that lattice minimum Bayes… CONTINUE READING

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