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Segmenting documents by stylistic character

  • NEIL GRAHAM (a1) (a2), GRAEME HIRST (a1) and BHASKARA MARTHI (a1) (a3)
Abstract

As part of a larger project to develop an aid for writers that would help to eliminate stylistic inconsistencies within a document, we experimented with neural networks to find the points in a text at which its stylistic character changes. Our best results, well above baseline, were achieved with time-delay networks that used features related to the author's syntactic preferences, whereas low-level and vocabulary-based features were not found to be useful. An alternative approach with character bigrams was not successful.

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An earlier version of parts of this paper was presented at the Workshop on Computational Approaches to Style Analysis and Synthesis, Acapulco, August 2003.
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Natural Language Engineering
  • ISSN: 1351-3249
  • EISSN: 1469-8110
  • URL: /core/journals/natural-language-engineering
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