The SAMER text simplification corpus is the first manually annotated Arabic parallel corpus for text simplification targeting school-aged learners. The corpus comprises texts of 159K words selected from 15 publicly available Arabic fiction novels most of which were published between 1865 and 1955. The corpus includes readability level annotations at both the document and word levels, as well as two simplified parallel versions for each text targeting learners at two different readability levels. Details of the creation process and analysis of the resulting resource are presented in Alhafni et al. (2024).
The creation of this resources was done under the New York University Abu Dhabi (NYUAD) funded Simplification of Arabic Masterpieces for Extensive Reading (SAMER) project. The purpose of the SAMER project is to build a corpus of curriculum reading material, formulate a graded reader scale for the simplification of modern fiction in Arabic intended for school-age learners, and then use it to guide the semi-automated simplification of a number of Arabic works of fiction, a task performed by human simplifiers and facilitated by state-of-the-art NLP computational tools. A project overview is presented in Al Khalil et al. (2017).
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// License for The SAMER Arabic Text Simplification Corpus
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Copyright 2024 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 the software, 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 software are granted; and 4) no rights to assign this license are granted. Please Contact the Office 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 Bashar Alhafni, Reem Hazim, Juan Pineros Liberato, Muhamed Al Khalil and Nizar Habash at the Computational Approaches to Modeling Language (CAMeL) Lab in New York University Abu Dhabi.
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Please cite Alhafni et al. (2024) if you use The SAMER Arabic Text Simplification Corpus in your research:
Bashar Alhafni, Reem Hazim, Juan Pineros Liberato, Muhamed Al Khalil, Nizar Habash. (2024). The SAMER Arabic Text Simplification Corpus. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation. Turin, Italy.
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