---
title: "Syllable Structures Across Arabic Varieties — Qaddoumi 2026"
description: "Arabic varieties differ considerably in which syllable shapes they permit."
authors: ["Abdelrahim Qaddoumi", "Jordan Kodner", "Salam Khalifa", "Ellen Broselow", "Owen Rambow"]
year: 2026
venue: "Proceedings of the 13th Workshop on NLP for Similar Languages, Varieties and Dialects"
source: "https://aclanthology.org/2026.vardial-1.21/"
doi: "10.18653/v1/2026.vardial-1.21"
licence: "CC BY 4.0 (ACL Anthology)"
licence_url: "https://creativecommons.org/licenses/by/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/papers/qaddoumi-2026-syllable-structures-across-arabic-varieties/"
---
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# Syllable Structures Across Arabic Varieties

**Authors:** [Abdelrahim Qaddoumi](https://md.research.elamur.ai/free/authors/abdelrahim-qaddoumi/), [Jordan Kodner](https://md.research.elamur.ai/free/authors/jordan-kodner/), [Salam Khalifa](https://md.research.elamur.ai/free/authors/salam-khalifa/), [Ellen Broselow](https://md.research.elamur.ai/free/authors/ellen-broselow/), [Owen Rambow](https://md.research.elamur.ai/free/authors/owen-rambow/) · **Year:** 2026 · **Venue:** Proceedings of the 13th Workshop on NLP for Similar Languages, Varieties and Dialects · **Licence:** [CC BY 4.0 (ACL Anthology)](https://creativecommons.org/licenses/by/4.0/)

**Links:** [Publisher's page](https://aclanthology.org/2026.vardial-1.21/) · [PDF](https://aclanthology.org/2026.vardial-1.21.pdf) · [DOI 10.18653/v1/2026.vardial-1.21](https://doi.org/10.18653/v1/2026.vardial-1.21) · [OpenAlex](https://openalex.org/W7140084480)

**Citations:** 0 citations (openalex-snapshot · 2026-10-14) · [1](#cited-by) in our library, of the 140673 papers whose bibliographies we read

## Summary

Arabic varieties differ considerably in which syllable shapes they permit. Moroccan allows triple-consonant onsets, Maltese has vowel-only syllables, and Juba Arabic lacks long vowels. Yet automatic syllabification research has mostly focused on English. The authors take IPA transcriptions from Wiktionary for nine varieties (Egyptian, Gulf, Hejazi, Juba, Maltese, Moroccan, North Levantine, South Levantine and MSA) and clean them into a "silver standard" resource.

They syllabify the words with Kodner's language-independent SIMPLESYLLABIFY tool, which locates nuclei and places boundaries according to the Maximum Onset Principle. They test it in three settings: fixed default rules, onsets and codas learned jointly across all varieties, and onsets and codas learned separately for each variety. The simple rule-based default proves most accurate. The authors then compare the syllable-type distributions of the varieties using Jensen-Shannon divergence, which reveals three clusters. A targeted error analysis distinguishes genuine algorithm failures from problems in the data.

The work matters because it offers a reusable resource and a quantitative way to compare low-resource, diglossic varieties. Syllable boundaries have also been shown to help downstream tools such as morphological analyzers.

## Key points

- Accuracy by setting: Default reaches 97.05–100%, Per-variety 90.64–100%, and Joint 84.63–94.74%.
- The syllabifier is SIMPLESYLLABIFY (Kodner, 2016), and the data are IPA transcriptions extracted from Wiktionary.
- The Jensen-Shannon divergence analysis yields three groups:
  - Egyptian, Hejazi and MSA cluster closely.
  - Levantine and Gulf form a second group.
  - Juba, Maltese and Moroccan are outliers.
- A cleaned nine-variety dataset is released as a silver standard for Arabic syllabification.
- Although the method ignores word position, accuracy stays high. This suggests that the data contain few position-dependent syllable restrictions, or that the default rules already deal with them correctly.

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

Fields: [Linguistics & languages](https://md.research.elamur.ai/free/shelves/linguistics/)

## Cited by

Cited by

1 paper of our library cites it (of the 140673 whose bibliographies we read); each has a page here.

- [Learning Stress in Arabic Low-Resource Settings](https://md.research.elamur.ai/free/papers/qaddoumi-2026-learning-stress-arabic-low-resource/)

## Cite

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@inproceedings{qaddoumi2026syllable,
  title = {{Syllable Structures Across Arabic Varieties}},
  author = {Qaddoumi, Abdelrahim and Kodner, Jordan and Khalifa, Salam and Broselow, Ellen and Rambow, Owen},
  booktitle = {Proceedings of the 13th Workshop on NLP for Similar Languages, Varieties and Dialects},
  year = {2026},
  doi = {10.18653/v1/2026.vardial-1.21},
  url = {https://doi.org/10.18653/v1/2026.vardial-1.21}
}
```

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