Award Date

1-1-2003

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Committee Member

Kazem Tagva

Number of Pages

36

Abstract

A stemmer for the Farsi language has been designed, implemented, and evaluated. The stemmer uses Farsi morphology to remove affixes, producing effective stems. The implementation is written in C, using strings of unicode-encoded characters to represent Farsi words. It is meant to enhance the Farsi information retrieval system currently being developed at the Information Science Research Institute at the University of Nevada at Las Vegas. The effectiveness of the Farsi stemmer and stopword list on recall/precision was tested.

Keywords

Design; Effectiveness; Farsi; Implementation; Stemmer; Word

Controlled Subject

Computer science

File Format

pdf

File Size

1566.72 KB

Degree Grantor

University of Nevada, Las Vegas

Language

English

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Rights

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