Abstract. The writing style of an author is a phenomenon that computer scientists and stylometrists have modeled in the past with some success. However, due to the complexity and variability of writing styles, simple models often break down when faced with real world data. Thus, current trends in stylometry often employ hundreds of features in building classifier systems. In this paper, we present a novel set of synonym-based features for author recognition.We outline a basic model of how synonyms relate to an author's identify and then build an additional two models refined to meet real world needs. Experiments show strong correlation between the presented metric and the writing style of four authors with the second of the three models outperforming the others. As modern stylometric classifier systems demand increasingly larger feature sets, this new set of synonym-based features will serve to fill this everincreasing need.
"The least of things with a meaning is worth more in lifethan the greatest of things without it." Carl Jung (1875 -1961)
An assistant professor of Japanese and an instructional technologist teamed up to create online review quizzes for students of intermediate Japanese at Gettysburg College. Because of the convenience of online delivery, these quizzes were well suited to the needs of today's liberal arts students who often participate in many extracurricular activities. Student use of these quizzes increased over the course of the semester, and the benefits to them were measurable, especially in those students who had performed poorly in the class prior to the adoption of the online quizzes.
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