Characteristic Comparison of Korean Unstructured Dialogue Corpora by Morphological Analysis

Natural language processing (NLP) has globally attracted researchers' attention. Many unstructured dialogue corpora in other languages as well as English and Chinese have been collected for NLP research. Those corpora show various characteristics depending on the relationship between speakers, the dialogue topic, how dialogues are gathered, etc. Analyzing their characteristics is therefore mandatory to comprehend the corpora for studying natural language dialogue. In this paper, we choose six different Korean unstructured dialogue corpora for their characteristic comparison, and identify the average numbers of utterances, proper nouns and pronouns per dialogue using MeCab-ko, a Korean morpheme analyzer.