Test result shows that compared with traditional similarity model of word frequency, the weighted semantic similarity model improves the precision obviously.

实验表明，本文提出的基于语义树的加权语义相似度模型与传统的词频相似度模型相比，准确率有明显提高。

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The system similarity model is innovatively introduced to measure the semantic context for each candidate variant.

本文采用系统相似模型获得每个词变体上下文语义的量化评价。

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This paper introduces a SCORM learning resource model for semantic similarity measurement, researching and integration of the SCORM learning resources.

提出了一种用于SCORM学习资源语义相似度度量、搜索与整合的SCORM学习资源模型。

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