The SAMER Arabic Text Simplification Corpus

Fuente: arXiv
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Auteurs principaux: Alhafni, Bashar, Hazim, Reem, Liberato, Juan Piñeros, Khalil, Muhamed Al, Habash, Nizar
Format: Preprint
Publié: 2024
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author Alhafni, Bashar
Hazim, Reem
Liberato, Juan Piñeros
Khalil, Muhamed Al
Habash, Nizar
author_facet Alhafni, Bashar
Hazim, Reem
Liberato, Juan Piñeros
Khalil, Muhamed Al
Habash, Nizar
contents We present the SAMER Corpus, the first manually annotated Arabic parallel corpus for text simplification targeting school-aged learners. Our corpus comprises texts of 159K words selected from 15 publicly available Arabic fiction novels most of which were published between 1865 and 1955. Our 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. We describe the corpus selection process, and outline the guidelines we followed to create the annotations and ensure their quality. Our corpus is publicly available to support and encourage research on Arabic text simplification, Arabic automatic readability assessment, and the development of Arabic pedagogical language technologies.
format Preprint
id arxiv_https___arxiv_org_abs_2404_18615
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The SAMER Arabic Text Simplification Corpus
Alhafni, Bashar
Hazim, Reem
Liberato, Juan Piñeros
Khalil, Muhamed Al
Habash, Nizar
Computation and Language
We present the SAMER Corpus, the first manually annotated Arabic parallel corpus for text simplification targeting school-aged learners. Our corpus comprises texts of 159K words selected from 15 publicly available Arabic fiction novels most of which were published between 1865 and 1955. Our 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. We describe the corpus selection process, and outline the guidelines we followed to create the annotations and ensure their quality. Our corpus is publicly available to support and encourage research on Arabic text simplification, Arabic automatic readability assessment, and the development of Arabic pedagogical language technologies.
title The SAMER Arabic Text Simplification Corpus
topic Computation and Language
url https://arxiv.org/abs/2404.18615