Abstract:
                
This seminar looks at the problem of document and text processing (such as similarity detection) using a morphologically motivated/based-approach combined with Common Sequence techniques. Text analysis and similarity calculations involve finding and deciding on similarities between text documents.  They are used in many areas including copy detection and protection, plagiarism detection and analysis, file management and analysis and many other domains. Morphologically motivated similarity calculation is our new idea of using written text structures as bases for similarity calculations. This, we hope, may prove to be appealing and of value in terms of efficiency and accuracy when comparing documents.
It is the aim of this project to investigate the idea's potential, applicability and utility through a prototype implementation to be experimentally validated in some application area. The new technique will be applied in a combined fashion with other similarity finding technique. The resulting prototype will be used on text corpus and hopefully compared to other existing tools and techniques.

Abstract:

Calculating, assigning, documenting and reporting students' grades are extremely exhausting and time-consuming tasks, requiring the tabulations of an entire term to be done by hand or computer spreadsheets. However, even computers cannot improve organizational performance unless they are used appropriately. In addition, there is a large variance of grading practices within and across departments and colleges. Because of issues such as instructors using different traditional and electronic methods in computing grades the use of a standard electronic grading book should bring consistency into these practices. Not only does using an electronic grading book promote consistency, it also assists in promoting professionalism in documentation process throughout the University as well. RealGrade 4.0 © is a full-featured grading tool designed to provide  a wonderful opportunity for University instructors grade and report students' academic activates and exams quickly and efficiently based on the University grading scale. RealGrade 4.0 © automates the tasks involved in managing and reporting grades, and provides a number of functions to import and export student lists, track student attendance and generate course statistics useful in evaluating student performance and communicating results to students and administrators more effectively.