arXiv cs.CL· Noor Abo Mokh, Mohamed Adel, Jamila El-Gizuli, Go Inoue, Ahmed Elshabrawy, Nizar Habash·· 13 小时前AI 评分20
MADARTB：覆盖五种城市方言的并行阿拉伯语依存树库
A Parallel Multi-Dialect Arabic Dependency Treebank
AI 导读
MADARTB 是首个大规模并行阿拉伯语依存树库，覆盖贝鲁特、开罗、多哈、拉巴特和突尼斯五种城市方言，共 5,000 句，采用 CATiB 依存标注方案，并扩展了已有的并行 MSA 版本。
正文 · 原文
Abstract:Dependency parsing resource development for Arabic has largely focused on Modern Standard Arabic, leaving dialectal Arabic comparatively under-resourced. We introduce MADARTB, the first large-scale parallel dependency treebank spanning five city dialects: Beirut, Cairo, Doha, Rabat and Tunis, and extending an existing parallel MSA version. In total MADARTB consists of 5,000 sentences annotated using the CATiB dependency scheme. We analyze syntactic similarity across all city dialects and MSA. Although global construction profiles exhibit high similarity across varieties, local syntactic structures frequently diverge, revealing substantial structural variation across dialects. We further establish a cross-dialect dependency parsing comparison using a supervised parser and four LLMs. The supervised parser achieves 87.5% LAS, while the best LLM setup trails at 85.7% LAS across all six varieties on the test set. We release our annotations and models publicly.
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2610.28823 [cs.CL] |
| (or arXiv:2610.28823v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.28823 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Noor Abo Mokh [view email]
[v1]
Tue, 20 Oct 2026 18:45:40 UTC (8,583 KB)
来源：arXiv cs.CL · arxiv.org