| 一种面向机器翻译的知识库求精机制 |
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| 引用本文： | 郭宏蕾.一种面向机器翻译的知识库求精机制[J].北京航空航天大学学报,1998,24(4):382-385. |
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| 作者姓名： | 郭宏蕾 |
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| 作者单位： | 北京航空航天大学 计算机科学与工程系 |
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| 基金项目： | 国家自然科学基金(69433030)和攀登计划基金资助项目 |
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| 摘 要： | 给出了一些知识库求精原则;提出一种面向机器翻译的知识求精机制,以错误严重性为指示器,优先求解最严重的错误,并以系统有效性和知识收敛粒度的变化为依据衡量求精操作的可接受性;给出了基于案例的错误辨识策略以及基于聚焦修正的概化、特化操作.
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| 关 键 词： | 计算机应用 信息处理 人工智能 机器翻译 知识库求精 基于案例求解 |
| 收稿时间： | 1998-06-11 |
Knowledge-Base Refinement Mechanism towards Machine Translation |
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| Guo Honglei,Li Wei.Knowledge-Base Refinement Mechanism towards Machine Translation[J].Journal of Beijing University of Aeronautics and Astronautics,1998,24(4):382-385. |
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| Authors: | Guo Honglei Li Wei |
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| Institution: | Beijing University of Aeronautics and Astronautics,Dept. of Computer Science and Engineering |
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| Abstract: | 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. |
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| Keywords: | computer applications information processing artificial intelligence machine translation knowledge base case based reason |
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