| 摘要 |
A method to significantly improve the accuracy of Statistical Machine Translation (SMT) translation output, while increasing the effectively of the required ongoing human translation effort by correlating said ongoing professional human translation effort directly to the translation errors made by the system. Once said translation errors have been corrected by professional human translators and re-input to the system, the SMT's inherent "learning process" will ensure that the same, and possibly similar, translation error(s) will not occur again.
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