Arab-Acquis is a large dataset for evaluating machine translation between 22 European languages and Arabic. Arab-Acquis consists of over 12,000 sentences from the JRCAcquis (Acquis Communautaire) corpus translated twice by professional translators, once from English and once from French, and totaling over 600,000 words.
This resource was developed at the Computational Approaches to Modeling Language (CAMeL) Lab in New York University Abu Dhabi.
By downloading the Arab-Acquis files from HERE you agree to the terms of the license below.
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// License for Arab-Acquis Dataset
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Copyright 2018 New York University Abu Dhabi. All Rights Reserved. A license to
use and copy this software, data 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
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no rights to sublicense or further distribute this software are
granted; 3) no rights to modify this software are granted; and 4) no
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of Industrial Liaison, New York University, One Park Avenue, 6th
Floor, New York, NY 10016 (212) 263-8178, for commercial licensing
opportunities, or for further distribution, modification or license
rights.
Created by Nizar Habash, Nasser Zalmout, Dima Taji, Hieu Hoang and Maverick Alzate at the
Computational Approaches to Modeling Language (CAMeL) Lab in New York
University Abu Dhabi.
IN NO EVENT SHALL NYU, OR ITS EMPLOYEES, OFFICERS, AGENTS OR TRUSTEES
("COLLECTIVELY "NYU PARTIES") BE LIABLE TO ANY PARTY FOR DIRECT,
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Please cite Habash et al. (2017) if you use Arab-Acquis in your research.
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