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A Large Scale Corpus of Gulf Arabic

arXiv 1609.02960 ↗First posted 9 Sep 2016cs.CLcited by 17

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Abstract (arXiv)

Most Arabic natural language processing tools and resources are developed to serve Modern Standard Arabic (MSA), which is the official written language in the Arab World. Some Dialectal Arabic varieties, notably Egyptian Arabic, have received some attention lately and have a growing collection of resources that include annotated corpora and morphological analyzers and taggers. Gulf Arabic, however, lags behind in that respect. In this paper, we present the Gumar Corpus, a large-scale corpus of Gulf Arabic consisting of 110 million words from 1,200 forum novels. We annotate the corpus for sub-dialect information at the document level. We also present results of a preliminary study in the morphological annotation of Gulf Arabic which includes developing guidelines for a conventional orthography. The text of the corpus is publicly browsable through a web interface we developed for it.

Key facts. Cited by 17 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 Sep 2016.

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Citing papers per year: 2021: 1; 2022: 2; 2023: 3; 2024: 6; 2025: 1; 2026: 4.

17 papers.

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  1. 2024Natural Language Processing for Dialects of a Language: A Surveycited by 40
  2. 2021NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Taskcited by 32
  3. 2023NADI 2023: The Fourth Nuanced Arabic Dialect Identification Shared Taskcited by 29
  4. 2022NADI 2022: The Third Nuanced Arabic Dialect Identification Shared Taskcited by 23
  5. 2024NADI 2024: The Fifth Nuanced Arabic Dialect Identification Shared Taskcited by 23
  6. 2024ZAEBUC-Spoken: A Multilingual Multidialectal Arabic-English Speech Corpuscited by 10
  7. 2024SaudiBERT: A Large Language Model Pretrained on Saudi Dialect Corporacited by 7
  8. 2024Exploiting Dialect Identification in Automatic Dialectal Text Normalizationcited by 7
  9. 2025NADI 2025: The First Multidialectal Arabic Speech Processing Shared Taskcited by 7
  10. 2023SAIDS: A Novel Approach for Sentiment Analysis Informed of Dialect and Sarcasmcited by 3
  11. 2022TArC: Tunisian Arabish Corpus First complete releasecited by 2
  12. 2024Arabic Text Sentiment Analysis: Reinforcing Human-Performed Surveys with Wider Topic Analysiscited by 1
5 more
  1. 2026From FusHa to Folk: Exploring Cross-Lingual Transfer in Arabic Language Modelscited by 1
  2. 2026AlexandriaX 2026: The First Shared Task on Dialectal Arabic Machine Translationcited by 1
  3. 2023Noor-Ghateh: A Benchmark Dataset for Evaluating Arabic Word Segmenters in Hadith Domaincited by 0
  4. 2026Ramsa: A Large Sociolinguistically Rich Emirati Arabic Speech Corpus for ASR and TTScited by 0
  5. 2026The Generator-Eraser Paradox: Community Guidelines for Responsible LLM-Assisted Dialect Resource Creationcited by 0