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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5042))

Abstract

Automatic text classification techniques are applied to the problem of quantifying strength of characterization within plays, using a case study of the works of four sample playwrights that are freely available in machine-readable form. Strong characters are those whose speeches constitute homogeneous categories in comparison with other characters—their speeches are more attributable to themselves than to their play or their author.

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References

  1. Biber, D.: Dimensions of Register Variation. Cambridge University Press, Cambridge (1995)

    Book  Google Scholar 

  2. Chaski, C.: Who Wrote It? Steps Toward a Science of Authorship Identification. National Institute of Justice Journal 233, 15–22 (1997)

    Google Scholar 

  3. Chaski, C.: Empirical Evaluations of Language-based Author Identification Techniques. Forensic Linguistics 8(1), 1–65 (2001)

    Google Scholar 

  4. Coleman, C.: The Treatise Lorenzo Valla on the Donation of Constantine: Text and Translation. Russell & Russell, New York (1971); First published 1922

    Google Scholar 

  5. Farmer, T., Christiansen, M., Monaghan, P.: Phonological Typicality Influences On-line Sentence Comprehension. Proceedings of the National Academy of Sciences of the United States of America 103(32), 12203–12208 (2006)

    Article  Google Scholar 

  6. Foster, D.: Author Unknown. On the Trail of Anonymous. Macmillan, London (2001)

    Google Scholar 

  7. Frontini, F., Lynch, G., Vogel, C.: Revisiting the Donation of Constantine. In: Kibble, R., Rauchas, S. (eds.) 2008 Artificial Intelligence and Simulation of Behavior – Symposium: Style in Text

    Google Scholar 

  8. Healey, P.G.T., Vogel, C., Eshghi, A.: Group Dialects in an Online Community. In: Arnstein, R., Vieu, L. (eds.) DECALOG 2007, The 10th Workshop on the Semantics and Pragmatics of Dialogue, Università di Trento (Italy), May 30 – June 1, 2007, pp. 141–147 (2007)

    Google Scholar 

  9. Hogan, L.: A Corpus Linguistic Analysis of American, British and Irish Political Speeches. Master’s thesis, Centre for Language and Communication Studies, Trinity College, University of Dublin (2005)

    Google Scholar 

  10. Kilgarriff, A., Salkie, R.: Corpus Similarity and Homogeneity via Word Frequency. In: Proceedings of Euralex 1996 (1996)

    Google Scholar 

  11. Kilgarriff, A.: Comparing Corpora. International Journal of Corpus Linguistics 6(1), 97–133 (2001)

    Article  Google Scholar 

  12. Laver, M. (ed.): Estimating the Policy Position of Political Actors. Routledge (2001)

    Google Scholar 

  13. Laver, M., Garry, J.: Estimating Policy Positions from Political Texts. American Journal of Political Science 44(3), 619–634 (2000)

    Article  Google Scholar 

  14. Leech, G.N., Short, M.H.: Style in Fiction: A Linguistic Introduction to English Fictional Prose. Longman, London (1981)

    Google Scholar 

  15. Lynch, G., Vogel, C.: Automatic Character Assignation. In: Bramer, M. (ed.) AI-2007 Twenty-seventh SGAI International Conference on Artificial Intelligence, pp. 335–348. Springer, Heidelberg (2007)

    Google Scholar 

  16. Mencke, M.: Benchmarking a Text Classification Technique. Master’s thesis, Computational Linguistics Group, Trinity College Dublin (2007)

    Google Scholar 

  17. Nijholt, A., Reidsma, D., Ruttkay, Z., van Welbergen, H., Bos, P.: Non-verbal and Bodily Interaction in Ambient Entertainment. In: Esposito, A., Keller, E., Marinaro, M., Bratanic, M. (eds.) The Fundamentals of Verbal and Non-Verbal Communication and the Biometrical Issue, pp. 343–348. IOS Press, Amsterdam (2007)

    Google Scholar 

  18. Oakes, M.P.: Statistics for Corpus Linguistics. Edinburgh Textbooks in Empirical Linguistics. Edinburgh University Press, Edinburgh (1998)

    Google Scholar 

  19. O’Brien, C., Vogel, C.: Spam Filters: Bayes vs. Chi-squared; Letters vs. Words. In: Alesky, M., et al. (ed.) Proceedings of the International Symposium on Information and Communication Technologies, pp. 298–303 (2003)

    Google Scholar 

  20. Parry, A.: The making of Homeric verse: the collected papers of Milman Parry. Oxford University Press, Oxford (1971) (Reprinted 1987)

    Google Scholar 

  21. Schmid, H.: Probabilistic Part-of-Speech Tagging using Decision Trees. In: International Conference on New Methods in Language Processing (1994)

    Google Scholar 

  22. Smith, J.D.: Winged Words Revisited: Diction and Meaning in Indian Epic. Bulletin of the School of Oriental and African Studies, University of London 62(2), 267–305 (1999)

    Article  Google Scholar 

  23. Van Gijsel, S., Vogel, C.: Inducing a Cline from Corpora of Political Manifestos. In: Aleksy, M., et al. (eds.) Proceedings of the International Symposium on Information and Communication Technologies, pp. 304–310 (2003)

    Google Scholar 

  24. Vogel, C.: Corpus Homogeneity and Bernoulli Schema. In: Mining Massive Data Sets for Security. NATO Advanced Study Institute, pp. 93–94 (2007)

    Google Scholar 

  25. Vogel, C.: N-gram Distributions in Texts as Proxy for Textual Fingerprints. In: Esposito, A., Keller, E., Marinaro, M., Bratanic, M. (eds.) The Fundamentals of Verbal and Non-Verbal Communication and the Biometrical Issue, pp. 189–194. IOS Press, Amsterdam (2007)

    Google Scholar 

  26. Vogel, C., Brisset, S.: Hearing Voices in the Poetry of Brendan Kennelly. In: Varieties of Voice, 2006. 3rd international BAAHE conference. Leuven, Revised version Belgian Journal of English Language & Literature, December 7-9 (to appear, 2006)

    Google Scholar 

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Vogel, C., Lynch, G. (2008). Computational Stylometry: Who’s in a Play?. In: Esposito, A., Bourbakis, N.G., Avouris, N., Hatzilygeroudis, I. (eds) Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction. Lecture Notes in Computer Science(), vol 5042. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70872-8_13

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  • DOI: https://doi.org/10.1007/978-3-540-70872-8_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70871-1

  • Online ISBN: 978-3-540-70872-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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