Developing an Automated English Sentence Scoring System for Middle-school Level Writing Test by Using Machine Learning Techniques
Gyoung Ho Lee, Kong‐Joo Lee · Journal of KIISE · 2014
In this paper, we introduce an automatic scoring system for middle-school level writing test based on using machine learning techniques. We discuss overall process and features for building an automatic English writing scoring system. A concept answer which represents an abstract meaning of text is newly introduced in order to evaluate the elaboration of a student's answer. In this work, multiple machine learning algorithms are adopted for scoring English writings. We suggest a decision process optimal combination which optimally combines multiple outputs of machine learning algorithms and generates a final single output in order to improve the performance of the automatic scoring. By experiments with actual test data, we evaluate the performance of overall automated English writing scoring system.