A Study on Promotion of Discourse of Language Action and Adjacent Pair in Japanese Learner's Conversation Database

Abstract

In recent years, interactive systems and dialogue generation in natural language processing have attracted attention. Due to the spread of the chat bot to the call center, an accurate human interactive response is required. On the other hand, qualitative interactions in sociology's ethnomethodology and discourse analysis / conversation analysis are beneficial. Therefore, once again, using the Japanese language learner conversation data corpus provided by the National Institute for Japanese Language, we examine the effect and aim at applying to the tendency of dialogue breakdown and dialogue generation.