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metadata
license: mit
language:
- ar
tags:
- sentence-segmentation
AraSeg: Arabic Sentence Segmentation
Looking for AraSeg? This page is a pointer. The dataset and models live in the repositories below.
π Collection: Arabic Sentence Segmentation
AraSeg is a manually annotated, genre-diverse benchmark for Arabic sentence segmentation, introduced in Arabic Sentence Segmentation Across Genres and Punctuation Conditions (Findings of EMNLP 2026).
Dataset
| Dataset | Description |
|---|---|
| MBZUAI/AraSEG | 2,187 documents, 121,623 sentences, 8 genres; four subsets: PA, NP, NoPnx-PA, NoPnx-NP |
Models
CAMeLBERT-MSA fine-tuned for sentence segmentation, one model per task variant:
| Model | Paragraph boundaries | Punctuation |
|---|---|---|
| MBZUAI/sentseg-camelbert-PA | β | β |
| MBZUAI/sentseg-camelbert-NP | β | β |
| MBZUAI/sentseg-camelbert-NoPnx-PA | β | β |
| MBZUAI/sentseg-camelbert-NoPnx-NP | β | β |
Citation
@inproceedings{elkholy-etal-2026-arabic-sentence-segmentation,
title = "{A}rabic Sentence Segmentation Across Genres and Punctuation Conditions",
author = "Elkholy, Mohammed and
Elmadani, Khalid N. and
Habash, Nizar and
Alhafni, Bashar",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2026",
month = oct,
year = "2026",
address = "Budapest, Hungary",
publisher = "Association for Computational Linguistics"
}