MSR-MT is an advanced research MT prototype that combines rule based and statistical techniques with example-based transfer. This hybrid, large-scale system is capable of learning all its knowledge of lexical and phrasal translations directly from data. MSR-MT has undergone rigorous evaluation showing that, trained on a corpus of technical data similar to the test corpus, its output surpasses the quality of best-of-breed commercial MT systems.
CITATION STYLE
Dolan, W. B., Pinkham, J., & Richardson, S. D. (2002). MSR-MT: The Microsoft research machine translation system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2499, pp. 237–239). Springer Verlag. https://doi.org/10.1007/3-540-45820-4_27
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