Title :
NLP Oriented Japanese Pun Classification
Author :
Dybala, P. ; Rzepka, Rafal ; Araki, Kotaro ; Sayama, K.
Author_Institution :
JSPS Res. Fellow, Otaru Univ. of Commerce, Otaru, Japan
Abstract :
In this paper we describe a phonetic classification of Japanese puns (dajare). Basing on real life examples gathered from available sources (books, Internet), we divided Japanese puns into 12 groups with numerous subgroups, according to phonetic changes that occur within them. This classification was prepared for the NLP purpose, i.e. to be used in humor processing. Its usefulness was shown in a research project, aimed at constructing a humor-equipped conversational system for Japanese.
Keywords :
natural language processing; signal classification; speech processing; Internet; NLP oriented Japanese Pun classification; NLP purpose; artificial humor generation; artificial intelligence; books; dajare; humor processing; humor-equipped conversational system; natural language processing; phonetic changes; phonetic classification; Educational institutions; Electronic mail; Generators; Humans; Natural language processing; Pragmatics; Switches; artificial intelligence; humor processing; natural language processing;
Conference_Titel :
Asian Language Processing (IALP), 2012 International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4673-6113-2
Electronic_ISBN :
978-0-7695-4886-9
DOI :
10.1109/IALP.2012.56
