关键词: 藏语主观题, 多特征融合, 语义相似度, 相似度矩阵

Abstract: This paper proposes an automatic scoring algorithm for Tibetan subjective questions based on multi-features combination, which establishes similarity computing model that consists of keyword-form, word-order, sentences length and semantic of sentence. This algorithm combines computing model with maximum similarity matrix to compute the result between standard answer and student’s answer, in the end, scores automatically. The results of experiment prove, comparing with other algorithm, that this algorithm can effectively reduce the average deviation.

Key words: Tibetan subjective question, multi-features combination, semantic similarity, similarity matrix