Data-Driven Polish Poetry Generator | SpringerLink
Skip to main content

Data-Driven Polish Poetry Generator

  • Conference paper
  • First Online:
Artificial Intelligence and Soft Computing (ICAISC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10246))

Included in the following conference series:

Abstract

The paper describes an attempt to create a poetry generator for Polish language. It is a data-driven approach – grammatical and semantic structures are automatically derived from input text. The system was successfully implemented and the quality of the output “poems” was tested in a “Poetic Turing Test”: a public survey. Its participants have been asked to distinguish between human written and computer generated poetry.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Chamberlain, B.: The Policeman’s Beard is Half Constructed. Warner Books, New York (1984)

    Google Scholar 

  2. Goldberg, E., Driedger, N., Kittredge, R.I.: Using natural-language processing to produce weather forecasts. IEEE Expert 9(2), 45–53 (1994)

    Article  Google Scholar 

  3. Ito, N., Hagiwara, M.: Natural language generation using automatically constructed lexical resources. In: The 2011 International Joint Conference on Neural Networks (IJCNN), pp. 980–987, July 2011

    Google Scholar 

  4. Korzeniowski, M., Mazurkiewicz, J.: Rule based dependency parser for polish language. In: Artificial Intelligence and Soft Computing, ICAISC 2017 (2017, to appear)

    Google Scholar 

  5. Manurung, H., Ritchie, G., Thompson, H.: Towards a computational model of poetry generation. Technical report, The University of Edinburgh (2000)

    Google Scholar 

  6. Meteer, M.W.: Spokesman: data-driven, object-oriented natural language generation. In: Proceedings of Seventh IEEE Conference on Artificial Intelligence Applications 1991, vol. 1, pp. 435–442, February 1991

    Google Scholar 

  7. Mountstephens, J.: Mnemonic phrase generation using genetic algorithms and natural language processing. In: 2013 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE), pp. 527–530, August 2013

    Google Scholar 

  8. Piasecki, M.: plWordNet (Slowosiec) (2008). http://hdl.handle.net/11321/43

  9. Pudaruth, S., Amourdon, S., Anseline, J.: Automated generation of song lyrics using CFGs. In: 2014 Seventh International Conference on Contemporary Computing (IC3), pp. 613–616, August 2014

    Google Scholar 

  10. Radziszewski, A., Warzocha, R.: WCRFT2: CLARIN-PL Digital Repository (2014). http://hdl.handle.net/11321/36

  11. Shannon, C.E.: A mathematical theory of communication. Bell Syst. Tech. J. 27, 623–666 (1948)

    Article  MathSciNet  MATH  Google Scholar 

  12. Weizenbaum, J.: ELIZA–a computer program for the study of natural language communication between man and machine. Commun. ACM 9(1), 36–45 (1966)

    Article  Google Scholar 

  13. Wolinski, M.: Morfeusz-a practical tool for the morphological analysis of polish. In: Kłopotek, M.A., Wierzchoń, S.T. (eds.) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol. 35, pp. 511–520. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jacek Mazurkiewicz .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Korzeniowski, M., Mazurkiewicz, J. (2017). Data-Driven Polish Poetry Generator. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2017. Lecture Notes in Computer Science(), vol 10246. Springer, Cham. https://doi.org/10.1007/978-3-319-59060-8_44

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-59060-8_44

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59059-2

  • Online ISBN: 978-3-319-59060-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics