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Diacritics Restoration for Arabic Dialects

Salima Harrat 1 Mourad Abbas 2 Karima Meftouh 3 Kamel Smaïli 4
1 ESI - École Nationale Supérieure d'Informatique [Alger]
2 CRSTDLA - Centre de Recherche Scientifique et Technique pour le Dévelopement de la Langue Arabe
3 LRI-ANNABA - Laboratoire de Recherche en Informatique
4 PAROLE - Analysis, perception and recognition of speech
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : In this paper we present a statistical approach for automatic diacritization of Algiers dialectal texts. This approach is based on statistical machine translation. We first investigate this approach on Modern Standard Arabic (MSA) texts using several data sources and extrapolated the results on available dialectal texts. For evaluation we used word and diacritization error rates and also precision and recall.
Keywords : Machine translation system Modern Standard Arabic automatic diacritization Algiers's dialect
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Submitted on : Wednesday, January 8, 2014 - 3:55:55 PM
Last modification on : Saturday, October 16, 2021 - 11:26:08 AM

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  • HAL Id : hal-00925815, version 1

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CNRS | UNIV-LORRAINE | LORIA | LORIA-NLPKD | INRIA

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Salima Harrat, Mourad Abbas, Karima Meftouh, Kamel Smaïli. Diacritics Restoration for Arabic Dialects. INTERSPEECH 2013 - 14th Annual Conference of the International Speech Communication Association, ISCA, Aug 2013, Lyon, France. ⟨hal-00925815⟩

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