Converting Dialectal Arabic to Modern Standard Arabic

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DC Field	Value	Language
dc.contributor.author	HIRI, Elwannas
dc.contributor.author	CHERAGUI, Mohamed Amine / supervisor
dc.date.accessioned	2021-09-16T07:50:21Z
dc.date.available	2021-09-16T07:50:21Z
dc.date.issued	2021
dc.identifier.uri	https://dspace.univ-adrar.edu.dz/jspui/handle/123456789/5371
dc.description	Computer Science	en_US
dc.description.abstract	The field of studying the arabic dialects has attracted a lot of researchers recently, with regards to the importance of this area in many domains of the time and the rising demand for this kind of needs. In this project we present our AMSAC corpus (Algerian dialect Modern Standard Arabic Corpora), a collection of more than 14k sentences, the largest corpus for Algerian dialect to our knowledge. We also present our model LAHDJA, a translation model for the Algerian dialect to the MSA. LAHDJA has achieved the best results compared to the Meftouhe model with a 15.13 BLUE score.	en_US
dc.description.abstract
dc.language.iso	en	en_US
dc.publisher	University Ahmed Draya - Adrar	en_US
dc.subject	Dialect	en_US
dc.subject	translation model	en_US
dc.subject	corpus	en_US
dc.title	Converting Dialectal Arabic to Modern Standard Arabic	en_US
dc.type	Thesis	en_US
Appears in Collections:	Mémoires de Master

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Converting Dialectal Arabic to Modern Standard Arabic.pdf		3.85 MB	Adobe PDF	View/Open

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