Issues in Visualizing Intercultural Dialogue Using Word2Vec and t-SNE

Abstract

One way to visualize an intercultural dialogue is to plot keywords jointly used by the intercultural speakers to see how the keywords locate relatively to each other, with the position of the keywords signifying some kind of a similarity relationship. We processed a Japanese transcription of a Korean-Japanese dialogue using Word2Vec and t-SNE algorithm to generate various 2D plots of the noun words jointly used by the Korean and Japanese speakers. Through this visualization process, we tracked down some of the issues involved in generating a meaningful visualization of the noun words jointly used by the intercultural speakers.