Moroccan Dialect -Darija- Open Dataset
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Abstract (arXiv)
Darija Open Dataset (DODa) is an open-source project for the Moroccan dialect. With more than 10,000 entries DODa is arguably the largest open-source collaborative project for Darija-English translation built for Natural Language Processing purposes. In fact, besides semantic categorization, DODa also adopts a syntactic one, presents words under different spellings, offers verb-to-noun and masculine-to-feminine correspondences, contains the conjugation of hundreds of verbs in different tenses, and many other subsets to help researchers better understand and study Moroccan dialect. This data paper presents a description of DODa, its features, how it was collected, as well as a first application in Image Classification using ImageNet labels translated to Darija. This collaborative project is hosted on GitHub platform under MIT's Open-Source license and aims to be a standard resource for researchers, students, and anyone who is interested in Moroccan Dialect
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 2 of its 14 references that are in the map. First posted on arXiv 28 Feb 2021.
Builds on
2 of 14 references.
References · 2
- 2015Deep Residual Learning for Image Recognitioncited by 52,096
- 2014ImageNet Large Scale Visual Recognition Challengecited by 8,498
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Citing papers per year: 2024: 2; 2025: 1.
3 papers.