Degree Name
Master of Science (MS)
Semester of Degree Completion
2004
Thesis Director
Samuel A. Guccione
Abstract
This study attempts to solve the problem of Word Sense Disambiguation using a combination of statistical, probabilistic and word matching algorithms. These algorithms consider that words and sentences have some hidden similarities and that the polysemous words in any context should be assigned to a sense after each execution of the algorithm. The algorithm was tested with sufficient sample data and the efficiency of the disambiguation performance has proven to increase significantly after the inclusion of the concordance methodology.
Recommended Citation
Guru, Ramakrishnan B., "A Similarity Based Concordance Approach to Word Sense Disambiguation" (2004). Masters Theses. 1381.
https://thekeep.eiu.edu/theses/1381
