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Summary: Gender in Shakespeare:
Automatic Stylistics Gender Character Classification
Using Syntactic, Lexical and Lemma Features
Sobhan Raj Hota, Shlomo Argamon Rebecca Chung
Laboratory of Linguistic Cognition,
Computer Science Department,
Lewis Department of Humanities
Illinois Institute of Technology, Chicago, IL, 60616 Illinois Institute of Technology, Chicago, IL, 60616
hotasob@iit.edu, argamon@iit.edu chung@iit.edu
Abstract
For a variety of text types, methods for automati-
cally determining the gender of a document's au-
thor can now reliably achieve accuracy of at least
70-80%. Our aim here is to extend this research, to
examine determining the gender of literary charac-
ters from the author's differing word use between
characters of different genders. Here we describe
results showing how Shakespeare used language
differently for his male and female characters, and
we have studied the top discriminating features
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