--- title: "Nâbra: Syrian Arabic Dialects with Morphological Annotations — Nayouf 2023" description: "Nâbra is a morphologically annotated corpus of Syrian Arabic: about 6,000 sentences and 60,021 tokens from social… 1 reference, cited by 24 papers here." authors: ["Amal Nayouf", "Tymaa Hammouda", "Mustafa Jarrar", "Fadi Zaraket", "Mohamad-Bassam Kurdy"] year: 2023 venue: "Proceedings of ArabicNLP 2023" source: "https://aclanthology.org/2023.arabicnlp-1.2/" doi: "10.18653/v1/2023.arabicnlp-1.2" 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/en/papers/nayouf-2023-nabra-syrian-arabic-dialects-morphological/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/nayouf-2023-nabra-syrian-arabic-dialects-morphological/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [2023](https://md.research.elamur.ai/free/en/papers/2023/page/6/) / Nâbra: Syrian Arabic Dialects with Morphological Annotations # Nâbra: Syrian Arabic Dialects with Morphological Annotations **Authors:** Amal Nayouf; [Tymaa Hammouda](https://md.research.elamur.ai/free/en/authors/tymaa-hammouda/); [Mustafa Jarrar](https://md.research.elamur.ai/free/en/authors/mustafa-jarrar/); [Fadi Zaraket](https://md.research.elamur.ai/free/en/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, 2026-10-14 · [**24** citations in our library](https://md.research.elamur.ai/free/en/papers/nayouf-2023-nabra-syrian-arabic-dialects-morphological/cited-by/) of the 140,884 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 · 2,124 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: OpenAlex, 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. ## For Mova - 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. 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. ## Institutions [🎓**American University of Beirut** Beirut · Lebanon 11 works · 1,412 citations](https://md.research.elamur.ai/free/en/universities/american-university-of-beirut/) · [🎓**Birzeit University** Birzeit · Palestine 10 works · 249 citations](https://md.research.elamur.ai/free/en/universities/birzeit-university/) Also on the byline: [Doha Institute for Graduate Studies](https://ror.org/05gd1cs26) · [Syrian Virtual University](https://ror.org/043vmz451). Topics[Morphology](https://md.research.elamur.ai/free/en/topics/morphology/) · [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/) ## Cite Cite as Amal Nayouf, Tymaa Hammouda, Mustafa Jarrar, Fadi Zaraket and Mohamad-Bassam Kurdy. 2023. Nâbra: Syrian Arabic Dialects with Morphological Annotations. Proceedings of ArabicNLP 2023. 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) ```bibtex @inproceedings{nayouf2023nabra, title = {{Nâbra: Syrian Arabic Dialects with Morphological Annotations}}, author = {Amal Nayouf, Tymaa Hammouda, Mustafa Jarrar, Fadi Zaraket and Mohamad-Bassam Kurdy}, 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 How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech](https://md.research.elamur.ai/free/en/papers/yedetore-2023-how-poor-is-stimulus-evaluating/) - [next → Prediction of Arabic Legal Rulings using Large Language Models](https://md.research.elamur.ai/free/en/papers/ammar-2023-prediction-arabic-legal-rulings-using/) - [↑ back to papers of 2023](https://md.research.elamur.ai/free/en/papers/2023/page/6/) ## 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. [find](https://scholar.google.com/scholar?q=Muhammad+Abdul%2DMageed%2C+Chiyu+Zhang%2C+Houda+Bouamor%2C+and+Nizar+Habash%2E+2020%2E+NADI+2020%3A+The+first+nuanced+Arabic+dialect+identification+shared+task%2E+In+Proceedings+of+the+Fifth+Arabic+Natural+Language+P)