The purpose of this paper is to conduct word level and key word analysis of the dialogue in Korean textbooks using WordSmith tools. For this study, we compiled 12 Korean textbooks used in two major Korean language institutes(i.e. Yonsei and Korea). We measure the frequency of token and type of words found in the texts using the WordList function. We also use the KeyWords function for extracting the lexical saliency of texts. Key words are those whose frequency is unusually high in comparison with some norm. We extend the keyness concept to clusters which are found repeatedly near each other. Finding these key words and key clusters could help to verify the comparison of dialogues in Korean textbooks.