句子相似度计算是信息处理领域一项基础技术,在基于实例的机器翻译中直接影响译文质量。该文以韩国语句子为研究对象,结合韩国语的句子特点提出了一种句子结构相似度的计算方法。该方法通过先提取句子的骨架结构,然后结合韩国语的句法特点制定标记转换规则,最后用转换后的句子结构与实例库中句子匹配得到与之相似的句子,得出两个句子间的结构相似度,并且通过实验验证了该方法的可行性,提高了相似度计算效果。

Sentence similarity computing is a fundamental task in the field of natural language processing, e.g. it directly affects the quality of translation in EBMT(Example-based Machine Translation)system. Focused on Korean, this paper puts forward a method for Korean sentence structure similarity computing according to the Korean sentence characteristics. This method first extracts the skeleton of the Korean sentence and then further processed the skeleton with the transformation rules designed in this paper. The final sentence similarity are measured in this kind of structure space, which are validated for the feasibility and efficiency by the experiment.