Knowledge Base Refinement Mechanism towards Machine Translation
Guo Honglei\ Li Wei (Beijing University of Aeronautics and Astronautics,Dept. of Computer Science and Engineering)
Some principles to refine knowledge base are proposed. A knowledge base (KB) refinement mechanism towards machine translation is provided,in which, the importance of errors serve as the refining indicators and the most serious errors are solved first, and the effectiveness and acceptance of KB refinement are determined based on system performance and the KB convergent gain alternation. The error identification strategy via case based reasoning is presented. Generalizing and specializing operations based on focus revision are presented as well.