Volta

Contribution au Niveau de l'Approche Indirecte à Base de Transfert dans la Traduction Automatique

Unknown authors · 2019
hash_id: d8d51827a9c1a89f89195d007e48df5bca09370d2f1a04ce2dabedfc60cb550a · DOI: 10.48550/arxiv.1911.07030

In this thesis, we address several important issues concerning the morphological analysis of Arabic language applied to textual data and machine translation. First, we provided an overview on machine translation, its history and its development, then we exposed human translation techniques for eventual inspiration in machine translation, and we exposed linguistic approaches and particularly indirect transfer approaches. Finally, we presented our contributions to the resolution of morphosyntactic problems in computer linguistics as multilingual information retrieval and machine translation. As a first contribution, we developed a morphological analyzer for Arabic, and we have exploited it in the bilingual information retrieval such as a computer application of multilingual documentary. Results validation showed a statistically significant performance. In a second contribution, we proposed …

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Cited by (2)

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AN ACCURACY-ENHANCED STEMMING ALGORITHM FOR ARABIC INFORMATION RETRIEVAL secondary