A Method to Resolve Ambiguity of Interpretation of English Sentences for Intelligent English Learning Support Systems

This paper presents a method of ambiguity resolution for natural language processing in intelligent English learning support systems. Ambiguity of interpretation of sentences is one of the most important problems for intelligent language learning support systems which allow learners input composed sentences freely. Our system has a question and answer function which asks learners the contents of a story. Our method for the function resolves structural and semantic ambiguity by using the degree of agreement between results of natural language processing: syntactic and semantic information, of learners' answers and a story.