1. What are the contributions in "A prototype for authorship attribution studies" ?
This paper presents a survey of the current state-ofthe-art as well as a framework for uniform and unified development of a tool to apply the state-of-the-art, despite the wide variety of methods and techniques used.. The usefulness of the framework is confirmed by the development of a tool using that framework that can be applied to authorship analysis by researchers without a computing specialization.. Using this tool, it may be possible both to expand the pool of available researchers as well as to enhance the quality of the overall solutions ( for example, by incorporating improved algorithms as discovered through empirical analysis [ Juola, 2004a ] ).
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2. What can be done to eliminate uninformative events from the event stream?
The remaining events can be subjected to a variety of inferential statistics, ranging from simple analysis of event distributions through complex pattern-based analysis.
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3. Since 1996, what has made it possible to use much larger sets of data for inference?
Since 1996, however, the popularity of corpus linguistics as a field of study and vast increase in the amount of data available on the Web have made it practical to use much larger sets of data for inference.
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4. What is the role of the editor’s pen, the typist’s fingers,?
The editor’s pen, the typist’s fingers, and the printer’s press can all introduce errors – and when a document exists only in physical or image form, the errors introduced by an OCR process [Juola, 2003b] can entirely invalidate the results.
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