Characteristics of everyday conversation derived from the analysis of dialog act annotation

Abstract

This paper addresses an attempt to find out the characteristics of everyday conversation data through dialog act information. Although several earlier studies have discussed how to annotate DA information, few studies use the result of the annotation as a clue to derive the characteristics of conversation. We report on the work to annotate dialog act information on utterances in Japanese everyday conversation, and the possibility of extracting the interactional characteristics using the annotation. As a result of the analysis, it was found that the annotation reflects differences in behaviour depending on the type of conversation and participants' age. Also, even in conversations with similar settings, differences were found in the distribution of tags about interactional management. It is suggested that the annotation may also reflect information that is difficult to capture objectively such as the conversational atmosphere.