A Case-based Reasoning Approach to Machine Translation
Ruzhan Lu · Jisuanji gongcheng · 2000
A machine translation system based on Case-Based Reasoning is described. We lay emphasis on the core of the system: the case retrieval part. The new similarity rule improves the translation accuracy with high coverage. The abstract-case-included case base and the recursively abstract algorithm promote the system's efficiency.