Arabic text simplification is a research area and computational task within Natural Language Processing focused on automatically transforming complex Arabic texts into simpler, more accessible versions. This involves analyzing and modifying linguistic features such as vocabulary, sentence structure, and morphological complexity to enhance readability for specific target audiences while preserving the original meaning.
216
Publications
7.3K
Citations
471
Authors
179
Institutions
Publications per year
2017–2026
66
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Publications
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Authors
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Leading researchers in Arabic Text Simplification. Counts cover only their work on this concept, not their overall record.
| Publications | Citations | H-Index | |
|---|---|---|---|
HS Universitat Pompeu Fabra | 7 | 279 | 7 |
SŠ University of Mannheim | 6 | 275 | 6 |
NH Columbia University | 4 | 181 | 4 |
RA King Saud University | 4 | 118 | 4 |
AM King Saud University | 3 | 189 | 3 |
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Institutions
179
Leading universities and research organizations in Arabic Text Simplification. Counts cover only their work on this concept, not their overall record.
| Publications | Citations | H-Index | |
|---|---|---|---|
 Riyadh, Saudi Arabia | 11 | 625 | 8 |
 Amman, Jordan | 11 | 224 | 5 |
 Irbid, Jordan | 7 | 265 | 5 |
 Leeds, United Kingdom | 4 | 136 | 4 |
 Wolverhampton, United Kingdom | 4 | 160 | 4 |
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Leading journals and conferences in Arabic Text Simplification. Counts cover only their publications on this concept, not their overall record.
| Publications | Citations | H-Index | |
|---|---|---|---|
8 | 152 | 8 | |
5 | 419 | 5 | |
4 | 239 | 4 | |
4 | 262 | 4 | |
3 | 193 | 3 |
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