Summary: Gender in Shakespeare:
Automatic Stylistic Analysis of Shakespeare's Characters
Sobhan Raj Hota Shlomo Argamon
Laboratory of Linguistic Cognition, Laboratory of Linguistic Cognition,
Computer Science Department, Computer Science Department,
Illinois Institute of Technology , Illinois Institute of Technology,
Chicago, IL, 60616 Chicago, IL, 60616
The problem of automatically determining the
gender of the author of a literary document (i.e.
fiction/non fiction), an electronic document (i.e.
text collected from e-mail), an informal text (i.e.
essays) etc. has been studied and have achieved
reasonable accuracy in the range of 70-80%. These
works have proven that noticeable differences ex-
ist, which discriminates author gender using simple
lexical and syntactic features. Our aim here is to
extend this research on automatically determining
gender of literary characters (i.e. from plays) from