CLAug 10, 2018

Hybrid approach for transliteration of Algerian arabizi: a primary study

arXiv:1808.03437v11 citations
AI Analysis

This work addresses a domain-specific problem for natural language processing in Algerian dialectal Arabic, but it is incremental as it builds on existing transliteration methods for Arabizi.

The paper tackles the problem of transliterating Algerian Arabizi (Arabic written in Latin script) into Arabic by proposing a hybrid rule-based approach that generates candidate transliterations and selects the best one. The results show an improvement with a precision score of 75.11% on test corpora, indicating competitiveness with existing methods.

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 Algérien, Arabizi Algérien, Translitération.

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