A funny proverb generation system based on sukashi

Hiroaki Yamane, Masafumi Hagiwara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, we propose a system which produces funny proverbs. This system uses the punch line framework named Sukashi. That is, by changing the end of the line, the proposed system produces a funny sentence. In this system, we employ Google N-grams to make a lot of Sukashi candidates. After that, the system extracts parameters from each word in each candidate. We choose parameters such as words' sounding, length, imageability, similarity and concrete level. The system selects candidates by using fuzzy rules. The performance of the proposed system has been evaluated by subjective experiments and obtained satisfactory results.

Original languageEnglish
Title of host publicationArtificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings
Pages368-377
Number of pages10
EditionPART 3
DOIs
Publication statusPublished - 2010 Nov 8
Event20th International Conference on Artificial Neural Networks, ICANN 2010 - Thessaloniki, Greece
Duration: 2010 Sep 152010 Sep 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume6354 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other20th International Conference on Artificial Neural Networks, ICANN 2010
CountryGreece
CityThessaloniki
Period10/9/1510/9/18

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Yamane, H., & Hagiwara, M. (2010). A funny proverb generation system based on sukashi. In Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings (PART 3 ed., pp. 368-377). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6354 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-15825-4_49