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COMPUTATIONAL STYLE PROCESSING
Ph.D. Dissertation, University of California Santa Cruz Department of Computer Science (2011)
  • Foaad Khosmood, California Polytechnic State University - San Luis Obispo
Abstract

Our main thesis is that computational processing of natural language styles can be accomplished using corpus analysis methods and language transformation rules. We demonstrate this first by statistically modeling natural language styles, and second by developing tools that carry out style processing, and finally by running experiments using the tools and evaluating the results. Specifically, we present a model for style in natural languages, and demonstrate style processing in three ways: Our system analyzes styles in quantifiable terms according to our model (analysis), associates documents based on stylistic similarity to known corpora (classification) and manipulates texts to match a desired target style (transformation).

Keywords
  • stylistics,
  • natural language processing
Publication Date
Fall 2011
Citation Information
Foaad Khosmood. "COMPUTATIONAL STYLE PROCESSING" Ph.D. Dissertation, University of California Santa Cruz Department of Computer Science (2011)
Available at: http://works.bepress.com/foaad/2/