Arabic Light Stemmer Based on ISRI Stemmer

Hamed, Dhafar; Khan, Wasiq; Thamer, Khudhair Abed; Hussain, Abir Jaafar

doi:10.1007/978-3-030-84532-2_4

Cited by 12 publications

(1 citation statement)

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“…Besides stemming and segmentation, it offers normalization and root extraction. • ISRI [38]: It is a light-stemming approach for the Arabic language that does not necessitate the use of any pattern or word dictionaries. The suggested stemmer is regarded as innovative because of its implementation of intelligent rules and the removal of affixes in the form of prefixes and suffixes from the word.…”

Section: B Utilitiesmentioning

confidence: 99%

Tasaheel: An Arabic Automative Textual Analysis Tool—All in One

Himdi,

Assiri

2023

IEEE Access

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This paper demonstrates Tasaheel, an automative Arabic textual analysis tool. It offers two types of textual analysis utilities: traditional natural language processing tasks; such as stemming, segmentation, normalization, name entity recognition, and part of speech tagging, by integrating open-sourced Arabic natural language processing packages. The second type of utility offers novel corpus analysis methods, including a detailed word use summary of part of speech, emotion, polarity, linguistics, and domain-specific word labeling. Tasaheel is the first Arabic tool that analyses affixes as a type of comprehensive textual analysis, along with options to search and handle data. We anticipate that Tasaheel will be a conducive tool for Arabic textual analysis. INDEX TERMSNLP, text analysis, tool, development.

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Section: B Utilitiesmentioning

confidence: 99%