To the weight update of Latent Semantic Analysis(LSA)model, this paper proposes an adaptive weight update algorithm based on Bayesian theory(ALSAB).

针对潜在语义分析（LSA）模型的权重更新问题，提出了一种基于贝叶斯理论的自适应权重更新算法ALSAB。

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The present semantic similarity algorithms are analyzed and a hybrid similarity measure is proposed based on semantic distance and dynamic weight.

分析了现有的概念相似度的算法，提出了基于语义距离和动态权重的混合概念间语义相似度算法。

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