Multiple component computational recognition of children’s jokes

An overview of a model for computational recognition of short jokes that are based on phonological similarity of words is presented. The jokes are taken from joke books. The model takes into account orthographic, phonological and semantic representation of words. A motivation for using this model, as well as steps for a joke recognizer, are discussed based on an example. The joke recognition is based on knowledge that is provided by an ontology. The ontology is created using entries from a children´s dictionary. Words in the dictionary are instances of concepts in the ontology. Semantic relationships between concepts are added from a collection of children´s texts and definitions in a children´s dictionary. Any short text is considered a joke if it contains two scripts that both overlap and oppose; and if there is a pair of similar sounding words, in which the first word is an instance of a concept of the first script, and the second word is an instance of a concept of the second script.