Abstract

Speakers of jokes are aware of the human cognitively rooted relevance-seeking inferential procedure and predict the interlocutor’s steps leading to a valid interpretation of the utterance in the joke. Specifically, speakers can predict the accessibility to certain information which builds up a proper scenario for understanding the joke, the inferential steps taken to turn the words uttered into contextualized meaningful propositions, and the awareness of cultural stereotypes regarding professions, nationalities, connoted places, sex roles, etc.. This inferred information is exploited to generate humorous effects. In previous research, the Intersecting Circles Model was proposed. It comprises seven types of jokes depending on whether the joke only relies on one of or on combinations of them, which entails analyzing the extent to which play or do not play a role in the generation of humorous effects. In this paper, 1000 jokes are analyzed and fitted into a type or combinations of. Several interesting humor-generating patterns are also isolated inside the seven preliminary joke types covered by the Model.