An Accuracy-Enhanced Stemming Algorithm for Arabic Information Retrieval

TL;DR

This paper introduces ESAIR, an Arabic stemming algorithm that improves information retrieval accuracy by accurately extracting roots, demonstrated through experiments showing up to 96% accuracy.

Contribution

The paper presents a novel Arabic stemming algorithm that enhances retrieval accuracy by effectively extracting roots using a template-based approach.

Findings

Root extraction accuracy up to 96%

Significant improvement in retrieval relevance

Effective in reducing silence during retrieval

Abstract

This paper provides a method for indexing and retrieving Arabic texts, based on natural language processing. Our approach exploits the notion of template in word stemming and replaces the words by their stems. This technique has proven to be effective since it has returned significant relevant retrieval results by decreasing silence during the retrieval phase. Series of experiments have been conducted to test the performance of the proposed algorithm ESAIR (Enhanced Stemmer for Arabic Information Retrieval). The results obtained indicate that the algorithm extracts the exact root with an accuracy rate up to 96% and hence, improving information retrieval.