• DocumentCode
    555132
  • Title

    Quantifying the vicissitude of Fitzgerald´s creativity a statistical analysis based on lexical measures

  • Author

    Liu Haiyan ; Yin Xiaohu

  • Author_Institution
    Sch. of Languages & Cultures, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    20-22 Aug. 2011
  • Firstpage
    123
  • Lastpage
    127
  • Abstract
    Traditionally, the critical evaluation of a writer´s creativity depends heavily on the critic´s taste. However, this qualitative criticism is subjective, for it does not take the text´ s intrinsic characteristics in to account. The power law distribution in different lexical texts has been discovered widely by the study on computational linguistics, which provides a statistical method for quantifying the intrinsic characteristics of literary texts. In this condition, Scott Fitzgerald´s four novels are taken a s examples to analyze statistically their lexical measures, such as the type token ratio, vocabulary growth rate and relative entropy. And a new measure is put forward to calculate the writer´s creativity, with which a new means to make a minute comparison of his creativity´s variation is also proposed. The experimental analysis of Fitzgerald´s novels demonstrates that this measure can not only corroborate the existing critical o pinions, but also portray the vicissitude of a writer´s creative ability effectively. And the omnipresence of power law makes us deem that the method proposed in this paper can be applied to studying other famous writer´s creativity and his works´ literary reputation.
  • Keywords
    computational linguistics; statistical distributions; Fitzgerald creativity; computational linguistics; lexical measure; lexical text; power law distribution; relative entropy; statistical analysis; type token ratio; vocabulary growth rate; writer creativity; Correlation; Educational institutions; Entropy; Frequency measurement; Power measurement; Production; Vocabulary; Creativity; Fitzgerald; Lexical measures; Power law; Type token ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-8622-9
  • Type

    conf

  • DOI
    10.1109/ITAIC.2011.6030166
  • Filename
    6030166