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A Parallel Multi-Dialect Arabic Dependency Treebank

Summary

Researchers introduce MADARTB, the first large-scale parallel dependency treebank covering five city dialects—Beirut, Cairo, Doha, Rabat, and Tunis—alongside a parallel Modern Standard Arabic version. The resource contains 5,000 sentences annotated with the CATiB dependency scheme and is used to analyze syntactic differences across varieties and to compare a supervised parser against four LLMs on cross-dialect dependency parsing.

SourcearXiv Computational LinguisticsAuthor: Noor Abo Mokh, Mohamed Adel, Jamila El-Gizuli, Go Inoue, Ahmed Elshabrawy, Nizar Habash
A Parallel Multi-Dialect Arabic Dependency Treebank
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[Submitted on 20 Oct 2026]

Title:A Parallel Multi-Dialect Arabic Dependency Treebank

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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)

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Key points

  • MADARTB is the first large-scale parallel Arabic dependency treebank spanning five city dialects, with 5,000 sentences annotated in the CATiB scheme.
  • Global construction profiles are highly similar across varieties, but local syntactic structures frequently diverge, revealing substantial structural variation.
  • A supervised parser reaches 87.5% LAS, while the best LLM setup trails at 85.7% LAS across all six varieties on the test set.
  • The annotations and models are released publicly to support further work on dialectal Arabic.

Highlights and analysis are generated automatically and may contain errors. Check the original source.