Skip to main content
Log in

Adaptation of fictional and online conversations to communication media

  • Regular Article
  • Published:
The European Physical Journal B Aims and scope Submit manuscript

Abstract

Conversations allow the quick transfer of short bits of information and it is reasonable to expect that changes in communication medium affect how we converse. Using conversations in works of fiction and in an online social networking platform, we show that the utterance length of conversations is slowly shortening with time but adapts more strongly to the constraints of the communication medium. This indicates that the introduction of any new medium of communication can affect the way natural language evolves.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. R. Goulden, P. Nation, J. Read, Appl. Linguist. 11, 341 (1990)

    Article  Google Scholar 

  2. P. Nation, R. Waring, in Vocabulary: Description, Acquisition and Pedagogy, edited by N. Schmitt, M. McCarthy (Cambridge University Press, Cambridge, 1997)

  3. C. Browne, G. Cihi, B. Culligan, Measuring vocabulary size via online technology (2007), http://www.lexxica.com [Retrieved 08-12-2012]

  4. D.P. Hayes, M.G. Ahrens, J. Child Lang. 15, 395 (1988)

    Article  Google Scholar 

  5. S. Hill, N. Launder, Australian J. Lang. Lit. 33, 240 (2010)

    Google Scholar 

  6. W. Chafe, D. Tannen, Annu. Rev. Anthropol. 16, 383 (1987)

    Article  Google Scholar 

  7. R. Wooffitt, Conversation Analysis and Discourse Analysis: A Comparative and Critical Introduction (Sage Publications Ltd, London, 2005)

  8. W. Sack, J. Manage. Inf. Syst. 17, 73 (2000)

    Google Scholar 

  9. A. Warner, Complementation in Middle English and the Methodology of Historical Syntax: A Study of the Wyclifite Sermons (Croom Helm, London, Canberra, 1982)

  10. A. Warner, Language Variation and Change 17, 257 (2005)

    Article  Google Scholar 

  11. D. Lorenz, in ICAME 33: Corpora at the centre and crossroads of English linguistics, Leuven, 2012 (University of Leuven, 2012), p. 185

  12. M. Kytö, T. Walker, Guide to A Corpus of English Dialogues, 1560–1760 (Uppsala: Acta Universitatis, Uppsaliensis, 2006)

  13. M. Davies, The Corpus of Historical American English: 400 million words, 1810–2009 (2010), http://corpus.byu.edu/coha/ [Retrieved 23-07-2012]

  14. J.A. Smith, C. Kelly, Comput. Humanit. 36, 411 (2002)

    Article  Google Scholar 

  15. D. Crystal, Language and the Internet, 2nd edn. (Cambridge Univ Press, Cambridge, 2006)

  16. G.U. Yule, Biometrika 30, 363 (1939)

    Google Scholar 

  17. E. Kelih, P. Grzybek, G. Antíc, E. Stadlobër, in From Data and Information Analysis to Knowledge Engineering, edited by M. Spiliopoulou, R. Kruse, C. Borgelt, A. Nurnberger, W. Gaul (Springer, Berlin, Heidelberg, 2006)

  18. T. Copeck, K. Barker, S. Delisle, S. Szpakowicz, in Proc. of TALN-2000, Lausanne (2000)

  19. C.B. Williams, Biometrika 31, 356 (1940)

    Google Scholar 

  20. C.B. Williams, Style and Vocabulary: Numerical Studies (Hafner Pub. Co., New York, 1970)

  21. W.C. Wake, J. Roy. Stat. Soc. A 120, 331 (1957)

    Article  Google Scholar 

  22. H.S. Sichel, J. Roy. Stat. Soc. A 137, 25 (1974)

    Article  Google Scholar 

  23. P. Grzybek, in Contributions to the Science of Text and Language, edited by P. Grzybek (Springer Netherlands, Dordrecht, 2006)

  24. B. Sigurd, M. Eeg-Olofsson, J. Van de Weijer, Stud. Linguist. 58, 37 (2004)

    Article  Google Scholar 

  25. H. Kučera, W. Francis, Computational Analysis of Present-day American English (Brown University Press, Providence, 1967)

  26. W. Francis, H. Kucera, Brown Corpus Manual of Information (Brown University Press, Providence, 1979)

  27. S. Bird, E. Klein, E. Loper, Natural Language Processing with Python (O’Reilly Media Inc., Sebastopol, California, 2009)

  28. L. Wasserman, All of Statistics: A Concise Course in Statistical Inference (Springer, New York, 2004)

  29. E. Jones et al., SciPy: Open Source Scientific Tools for Python (2001), http://www.scipy.org/ [Retrieved 19-04-2011]

  30. English spelling: You write potato, i write ghoughpteighbteau, The Economist 388, 30 (2008)

    Google Scholar 

  31. S.T. Piantadosi, H. Tily, E. Gibson, Proc. Natl. Acad. Sci. USA 108, 3526 (2011)

    Article  ADS  Google Scholar 

  32. U. Strauss, P. Grzybek, G. Altmann, in Contributions to the Science of Text and Language, edited by P. Grzybek, (Springer-Verlag, Berlin, Heidelberg, 2006)

  33. C. M. Alis, M. T. Lim, Supplementary material: PG authors list. (2012), http://www.nip.upd.edu.ph/ipl/data/conversations/pg-authorslist.csv

  34. C.M. Alis, M.T. Lim, Supplementary material: Adap tation of fictional and online conversations to communication media (2012), http://www.nip.upd.edu.ph/ipl/data/conversations/epjb˙si.pdf [Retrieved 27-09- 2012]

  35. E. Williams, How @replies work on twitter (and how they might) (2008), http://blog.twitter.com/2008/05/how-replies-work-on-twitter-and-how.html [Retrieved 25-09-2012]

  36. Twitter Help Center, What are @replies and mentions? (2012), https://support.twitter.com/articles/14023-what-are-replies-and-mentions [Retrieved 25-09-2012]

  37. J. Kalucki, Streaming API documentation (2010), http://apiwiki.twitter.com/w/page/22554673/Streaming-API-Documentation?rev=1268351420 [Retrieved 15-04-2012]

  38. C.M. Alis, M.T. Lim, Supplementary material: subs movie list (2012), http://www.nip.upd.edu.ph/ipl/data/conversations/subs-movielist.csv [Retrieved 27-09-2012]

  39. R.F.I. Cancho, R.V. Solé, Proc. Natl. Acad. Sci. USA 100, 788 (2003)

    Article  MathSciNet  ADS  MATH  Google Scholar 

  40. T. Klee, M.D. Fitzgerald, J. Child Lang. 12, 251 (1985)

    Article  Google Scholar 

  41. C.A. Dollaghan, T.F. Campbell, J.L. Paradise, H.M. Feldman, J.E. Janosky, D.N. Pitcairn, M. Kurs-Lasky, J. Speech Lang. Hear. Res. 42, 1432 (1999)

    Google Scholar 

  42. H.B. Mann, D.R. Whitney, Ann. Math. Stat. 18, 50 (1947)

    Article  MathSciNet  MATH  Google Scholar 

  43. Independent Television Commission, ITC Guidance on standards for subtitling (1999), http://www.ofcom.org.uk/static/archive/itc/itc˙publications/codes˙guidance/index.asp.html [Retrieved 15-04-2012]

  44. S. Bernhardsson, L.E.C. da Rocha, P. Minnhagen, New J. Phys. 11, 123015 (2009)

    Article  ADS  Google Scholar 

  45. M. Milian, Why text messages are limited to 160 characters (Los Angeles Times, May 3, 2009)

  46. ictDATA.org: top SMS 2009 (2010), http://www.ictdata.org/2010/10/top-sms-2009.html [Retrieved 21-02-2012]

  47. C. Thurlow, Discourse Analysis Online 1, 1 (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M.T. Lim.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Alis, C., Lim, M. Adaptation of fictional and online conversations to communication media. Eur. Phys. J. B 85, 397 (2012). https://doi.org/10.1140/epjb/e2012-30711-0

Download citation

  • Received:

  • Revised:

  • Published:

  • DOI: https://doi.org/10.1140/epjb/e2012-30711-0

Keywords

Navigation