# An Accuracy-Enhanced Stemming Algorithm for Arabic Information Retrieval

arXiv: https://arxiv.org/abs/1911.08249 · HTML: https://mlsanity.com/paper/1911.08249/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Nov 2019.

## Built on by (most cited first, 1 of 1)

- [Efficient Measuring of Readability to Improve Documents Accessibility for Arabic Language Learners](https://mlsanity.com/paper/2109.08648/) (2021)

## Abstract (arXiv)

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.