DerXter/State-of-NLP-Research-in-Senegal

First comprehensive survey of NLP work carried out in Senegalese languages covering various tasks + Applications in the social sciences. # Opportunities and Challenges of Natural Language Processing for Low-Resource __Senegalese__ Languages in Social Science Research 🇸🇳 cf Survey Paper This work presents a comprehensive survey of natural language processing (NLP) for six major Senegalese national languages: `Wolof`, `Pulaar`, `Sereer`, `Mandinka`, `Soninké`, and `Joola`. We provide an overview of the current state of research across key NLP tasks and highlight persistent challenges related to data scarcity, orthographic variation, and linguistic diversity. In addition, we introduce this centralized and openly accessible repository that compiles existing datasets, benchmarks, and tools available for these languages. The repository is designed as a __living resource to be periodically expanded through community contributions__. Our objective is to map existing efforts, identify critical research gaps, and encourage the development of sustainable, inclusive NLP research for Senegal’s national languages. If you are interested in the state of the art of NLP research in **African languages more broadly**, you can take a look at this comprehensive, two-decade survey of AfricaNLP research (2005–2025), analyzing publications, authors, affiliations, supporters, NLP topics, and tasks. The major linguistic and sociopolitical challenges that hinder the development of NLP technologies for African languages are discussed in this Afrocentric NLP paper. ## Taxonomy We drew inspiration from the taxonomy proposed in the Awesome AI Papers repository to propose this one. We chose subjective limits in terms of `number of citations` and use a set of **icons** to highlight which paper meets which criteria. ⭐ `Important Paper` : more than 50 citations and state of the art results. ⏫ `Trend` : 1 to 50 citations, innovative paper with growing adoption. 📰 `Important Article` : decisive work that was not accompanied by a research paper. An added 🔐 icons means that no open version (`locked access`) for this article was fou …