CAJ | 학술논문

提出了一种藏语句多特征融合的主观题自动评分算法，构建了关键词词形相似度计算模型、词序相似度计算模型、句子长度相似度计算模型和句子语义相似度计算模型。该算法将计算模型与最大相似度矩阵相结合，计算主观题的标准答案与学生答案之间句子、段落的相似度，最终做出自动评分。实验结果表明，与其他方法比较，该算法能有效降低平均误差值。
제출료일충장어구다특정융합적주관제자동평분산법，구건료관건사사형상사도계산모형、사서상사도계산모형、구자장도상사도계산모형화구자어의상사도계산모형。해산법장계산모형여최대상사도구진상결합，계산주관제적표준답안여학생답안지간구자、단락적상사도，최종주출자동평분。실험결과표명，여기타방법비교，해산법능유효강저평균오차치。
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, compar-ing with other algorithm, that this algorithm can effectively reduce the average deviation.