CMU-CS-QTR-103
Computer Science Qatar
School of Computer Science, Carnegie Mellon University



CMU-CS-QTR-103

2010 Senior Thesis Project Reports

Iliano Cervesato, Majd Sakr, Mark Stehlik*,
Bernardine Dias**, Kemal Oflazer, Noah Smith***
Editors

Rishav Bhowmick, Mohammed Kaleemur Rahman, Aysha Siddique
Authors

Contents
Rich Entity Type Recognition in Text
    ⋅Education E-Village: Empowering Technology Educations
in Developing Regions

    ⋅Designing Mobile Phone Based Education Games to Improve the
English Literacy Skills of Limited English Proficient (LEP) Adults

May 2010

CMU-CS-QTR-103.pdf


Keywords: Natural language processing, entity type recognition, Web-based Education, Technology for the Developing World, Mobile Education, Game-based Education, English Literacy

This technical report collects the final reports of the undergraduate Computer Science majors from the Qatar Campus of Carnegie Mellon University who elected to complete a senior research thesis in the academic year 2009-10 as part of their degree. These projects have spanned the students' entire senior year, during which they have worked closely with their faculty advisors to plan and carry out their projects. This work counts as 18 units of academic credit each semester. In addition to doing the research, the students presented a brief midterm progress report each semester, presented a public poster session in December, presented an oral summary in the year-end campuswide Meeting of the Minds and submitted a written thesis in May.

99 pages

The editors of the report include the members of the Senior Thesis Committee on the Qatar campus and the students' advisors.

*Department of Computer Science, Carnegie Mellon University
**Robotics Institute, Carnegie Mellon University and Computer Science Department, Qatar
***Machine Learning Department and Language Technologies Institute, Carnegie Mellon University


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