The MADAR corpus is a collection of parallel sentences covering the dialects of 25 cities from the Arab World, in addition to English, French, and MSA. The corpus is created by translating selected sentences from the Basic Traveling Expression Corpus (BTEC) (Takezawa et al., 2007) to the different dialects. The exact details on the translation process and source and target languages are described in Bouamor et al. (2018).
The list of Arab cities covered in the MADAR corpus includes: Aleppo, Alexandria, Algiers, Amman, Aswan, Baghdad, Basra, Beirut, Benghazi, Cairo, Damascus, Doha, Fes, Jeddah, Jerusalem, Khartoum, Mosul, Muscat, Rabat, Riyadh, Salt, Sanaa, Sfax, Tripoli, and Tunis.
This release contains two datasets:
Note: We do not provide the English or the French versions of the corpus because of copyright restrictions. In order to get access to the English and French corpus, you will have to contact the U-Star Consortium (firstname.lastname@example.org).
By downloading the MADAR Parallel Corpus Dataset files from HERE you agree to the terms of the license below.
// License for MADAR Corpus/Lexicon Dataset
Copyright 2019 Carnegie Mellon University and New York University Abu Dhabi. All Rights Reserved.
A license to use and copy this dataset and its documentation solely for your internal research and evaluation purposes, without fee and without a signed licensing agreement, is hereby granted upon your download of the dataset, through which you agree to the following: 1) the above copyright notice, this paragraph and the following three paragraphs will prominently appear in all internal copies and modifications; 2) no rights to sublicense or further distribute this software are granted; 3) no rights to modify this dataset are granted; and 4) no rights to assign this license are granted. Please Contact the Carnegie Mellon University "CMU" Center for Technology Transfer and Enterprise Creation, 4615 Forbes Avenue, Suite 302, Pittsburgh, PA 15213 - phone 412.268.7393, for commercial licensing opportunities, or for further distribution, modification or license rights.
Created by Houda Bouamor, Nizar Habash, Mohammad Salameh, Wajdi Zaghouani, Owen Rambow, Dana Abdulrahim, Ossama Obeid, Salam Khalifa, Fadhl Eryani, Alexander Erdmann and Kemal Oflazer.
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If you use this resource, cite:
Bouamor, Houda, Nizar Habash, Mohammad Salameh, Wajdi Zaghouani, Owen Rambow, Dana Abdulrahim, Ossama Obeid, Salam Khalifa, Fadhl Eryani, Alexander Erdmann and Kemal Oflazer. The MADAR Arabic Dialect Corpus and Lexicon. In Proceedings of the International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan, 2018.