Improve Hamming character difference based-on derivative lexical similarity and right space padding

Abstract

Hamming character difference represents one of the most common problems that can be occurred when students try to answer questions of fill in the gaps that need mostly to one word as the answer. To improve the evaluation of the student answer using Hamming distance, our proposed Hamming model tried to solve the drawbacks of the standard Hamming model by applying a stemming approach to achieve derivative lexical similarity and applying right space padding to deal with unequal lengths of the texts.