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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Transformer Based Abstractive Text Summarization for Hausa: A Low Resource NLP Approach

2026Journal of Scientific Development ResearchJournalOpen access

10.70382/hujsdr.v12i9.014 Full text0 citations

Authors

4 authors across 4 institutions in 1 country.

M. M. YusufFirst author
- Modibbo Adama University of Technology (NG)
as printed: Yusuf, Musa Malgwi
Adati Elkanah Chahari
- Federal College of Education, Kano (NG)
- Modibbo Adama University of Technology (NG)
Ahmed Musa Iliyasu
- Taraba State University (NG)
Habila MikailuSenior author
- Joseph Sarwuan Tarka University Makurdi (NG)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Topic Modelinglevel 3 · 0.82
Text and Document Classification Technologieslevel 3 · 0.05
Text Readability and Simplificationlevel 3 · 0.03

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2026 · Journal of Scientific Development Research · 0 citations
https://openalex.org/W7163160061

Transformer Based Abstractive Text Summarization for Hausa: A Low Resource NLP Approach · Sankore