Better Contextual Translation Using Machine Learning
AMTA '02 Proceedings of the 5th Conference of the Association for Machine Translation in the Americas on Machine Translation: From Research to Real Users
DMMT '01 Proceedings of the workshop on Data-driven methods in machine translation - Volume 14
Towards a simple and accurate statistical approach to learning translation relationships among words
DMMT '01 Proceedings of the workshop on Data-driven methods in machine translation - Volume 14
Sentence alignment using P-NNT and GMM
Computer Speech and Language
Bilingual sentence alignment based on punctuation statistics and lexicon
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
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MSR-MT is an advanced research MT prototype that combines rulebased 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.