[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/aclbulk-2023-nayouf-nabra-syrian-arabic-dialects-morphological/) [home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [Semitic languages](https://md.mova.elamur.ai/free/en/docs/papers/sem/) / Nâbra: Syrian Arabic Dialects with Morphological Annotations # Nâbra: Syrian Arabic Dialects with Morphological Annotations **Authors:** Amal Nayouf; Tymaa Hammouda; [Mustafa Jarrar](https://md.mova.elamur.ai/free/en/docs/papers/authors/mustafa-jarrar/); [Fadi Zaraket](https://md.mova.elamur.ai/free/en/docs/papers/authors/fadi-zaraket/); Mohamad-Bassam Kurdy · **Year:** 2023 · **Venue:** Proceedings of ArabicNLP 2023 **Link:** [aclanthology.org/2023.arabicnlp-1.2](https://aclanthology.org/2023.arabicnlp-1.2/) · library `aclbulk-2023-nayouf-nabra-syrian-arabic-dialects-morphological` · **Licence:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) [**3** citations](https://openalex.org/works?filter=cites:W4389518410) openalex-snapshot · 2026-10-14[**24** citations in our library](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2023-nayouf-nabra-syrian-arabic-dialects-morphological/) of the 140673 papers whose bibliographies we read[Proceedings of ArabicNLP 2023](https://aclanthology.org/volumes/2023.arabicnlp-1/)[licence](https://creativecommons.org/licenses/by/4.0/) - [Publisher's page](https://aclanthology.org/2023.arabicnlp-1.2/) - [PDF](https://aclanthology.org/2023.arabicnlp-1.2.pdf) - [DOI 10.18653/v1/2023.arabicnlp-1.2](https://doi.org/10.18653/v1/2023.arabicnlp-1.2) - [OpenAlex](https://openalex.org/W4389518410) **Authors (5)** 1. [Amal Nayouf](https://openalex.org/A5093136211) h 1 · 4 citations · 2 works 2. [Tymaa Hammouda](https://openalex.org/A5049723879) h 3 · 34 citations · 13 works 3. [Mustafa Jarrar](https://openalex.org/A5050418400) [ORCID](https://orcid.org/0000-0003-4351-4207) · h 24 · 2124 citations · 175 works 4. [Fadi Zaraket](https://openalex.org/A5010806171) [ORCID](https://orcid.org/0000-0001-5909-6375) · h 12 · 466 citations · 109 works 5. [Mohamad-Bassam Kurdy](https://openalex.org/A5075438802) [ORCID](https://orcid.org/0000-0002-3596-3320) · h 6 · 186 citations · 27 works Citations and author metrics from openalex-snapshot (2026-10-14); authors with the same name are not always told apart. ## What it is about Nâbra is a morphologically annotated corpus of Syrian Arabic: about 6,000 sentences and 60,021 tokens from social media, film and series scripts, song lyrics, proverbs and poetry, covering ten localities. Nine annotators tagged each token with prefixes, stem, suffixes, POS, dialect lemma, MSA lemma, person, number, gender, aspect, gloss and synonyms, in the SAMA tagset extended with Syrian affixes. A spreadsheet-like portal offered earlier annotations for lookup. Six linguists re-reviewed overlapping tokens; agreement F1 is 0.980 for prefixes, 0.944 for suffixes, 0.868 for POS, 0.805 for stem, 0.780 for MSA lemma and 0.753 for dialect lemma, with kappa in the same order. The corpus is public on the Currasat portal. ## Ideas - I1. Use one tag string for analyses: prefix/POS + prefix/POS + stem/POS + suffix/POS, joined by `+`. Mova's `tools/hbo` output could use this string, so its analyses are comparable with SAMA-style corpora and with `tools/macula compare`. - I2. Clean tags deterministically before scoring. The authors cluster tag variants by edit distance, review the clusters, and fix them with regular-expression scripts. The same clean-up should run on `macula` tag values before any comparison. - I3. Report the per-feature table. The spread is wide (prefixes 0.98, dialect lemma 0.75), so one accuracy number hides where a segmenter fails. The `tools/hbo` evaluation should report precision, recall, F and kappa per feature, with lemmas reported apart, as Table 4 does. ## For Mova I1 is the output format of `tools/hbo` (segmenter and CoNLL-U analysis). I2 is a clean-up step in `tools/macula` before `compare`. I3 is the scoring table for `tools/hbo`. Dialectal Arabic is not a Mova target now; these ideas apply to Hebrew and Aramaic only. ## Cite The paper itself, not this card. BibTeX from the library's record of the work. [DOI 10.18653/v1/2023.arabicnlp-1.2](https://doi.org/10.18653/v1/2023.arabicnlp-1.2) ``` @inproceedings{nayouf2023nabra, title = {{Nâbra: Syrian Arabic Dialects with Morphological Annotations}}, author = {Nayouf, Amal and Hammouda, Tymaa and Jarrar, Mustafa and Zaraket, Fadi and Kurdy, Mohamad-Bassam}, booktitle = {Proceedings of ArabicNLP 2023}, year = {2023}, doi = {10.18653/v1/2023.arabicnlp-1.2}, url = {https://doi.org/10.18653/v1/2023.arabicnlp-1.2} } ``` - [← previous Beyond Concatenative Morphology: Applying OntoLex-Morph to Maltese](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2023-ionov-beyond-concatenative-morphology-applying-ontolex/) - [next → Morphological Synthesizer for Ge'ez Language: Addressing Morphological Complexity and Resource Limitations](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-gidey-morphological-synthesizer-ge-ez-language/) - [↑ back to Semitic languages](https://md.mova.elamur.ai/free/en/docs/papers/sem/) ## References 1 references, 0 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet. 1. Muhammad Abdul-Mageed, Chiyu Zhang, Houda Bouamor, and Nizar Habash. 2020. NADI 2020: The first nuanced Arabic dialect identification shared task. In Proceedings of the Fifth Arabic Natural Language Processing Workshop, pages 97–110, Barcelona, Spain (Online). Association for Computational Linguistics. [↗](https://doi.org/10.48550/arxiv.2010.11334)