Tarab: A Multi-Dialect Corpus of Arabic Lyrics and Poetry
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Abstract (arXiv)
We introduce the Tarab Corpus, a large-scale cultural and linguistic resource that brings together Arabic song lyrics and poetry within a unified analytical framework. The corpus comprises 2.56 million verses and more than 13.5 million tokens, making it, to our knowledge, the largest open Arabic corpus of creative text spanning both classical and contemporary production. Tarab is broadly balanced between songs and poems and covers Classical Arabic, Modern Standard Arabic (MSA), and six major regional varieties: Egyptian, Gulf, Levantine, Iraqi, Sudanese, and Maghrebi Arabic. The artists and poets represented in the corpus are associated with 28 modern nation states and multiple historical eras, covering over fourteen centuries of Arabic creative expression from the Pre-Islamic period to the twenty-first century. Each verse is accompanied by structured metadata describing linguistic variety, geographic origin, and historical or cultural context, enabling comparative linguistic, stylistic, and diachronic analysis across genres and time. We describe the data collection, normalisation, and validation pipeline and present baseline analyses for variety identification and genre differentiation. The dataset is publicly available on HuggingFace at https://huggingface.co/datasets/drelhaj/Tarab.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 6 of its 24 references that are in the map. First posted on arXiv 17 Mar 2026.
Builds on
6 of 24 references.
References · 6
- 2016Enriching Word Vectors with Subword Informationcited by 1,578
- 2020AraBERT: Transformer-based Model for Arabic Language Understandingcited by 359
- 2020Arabic Dialect Identification in the Wildcited by 45
- 2013Arabizi Detection and Conversion to Arabiccited by 16
- 2024AraPoemBERT: A Pretrained Language Model for Arabic Poetry Analysiscited by 8
- 2016Shamela: A Large-Scale Historical Arabic Corpuscited by 7
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Citing papers per year: 2026: 2.
2 papers.