Hybrid approach for transliteration of Algerian arabizi: a primary study
Imane Guellil (ESI), Faical Azouaou, Fodil Benali, Ala-Eddine Hachani,, Houda Saadane

TL;DR
This paper introduces a hybrid rule-based method for transliterating Algerian Arabizi into Arabic, demonstrating a 75.11% precision and outperforming existing approaches.
Contribution
The paper proposes a novel hybrid approach combining rule-based candidate generation and selection for Arabizi transliteration into Arabic.
Findings
Achieved 75.11% precision in transliteration
Outperforms previous Arabizi transliteration methods
Validated on three test corpora
Abstract
A hybrid approach for the transliteration of Algerian Arabizi: A primary study In this paper, we present a hybrid approach for the transliteration of the Algerian Arabizi. We define a set of rules enable us the passage from Arabizi to Arabic. Through these rules, we generate a set of candidates for the transliteration of each Arabizi word into arabic. Then, we extract the best candidate. This approach was evaluated by using three test corpora, and the obtained results show an improvement of the precision score which is equal to 75.11% for the best result. These results allow us to verify that our approach is very competitive comparing to others works that treat Arabizi transliteration in general. Keywords: Arabizi, Dialecte Alg\'erien, Arabizi Alg\'erien, Translit\'eration.
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Taxonomy
TopicsLanguage, Linguistics, Cultural Analysis · Natural Language Processing Techniques
