Investigating the impact of stop words in Hausa extractive summarization
Abstract Text preprocessing decisions play a critical role in natural language processing pipelines for morphologically rich, low-resource languages. Stop-word removal is commonly assumed to improve model performance; however, its effect on extractive summarization remains insufficiently examined fo...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SpringerOpen
2026-03-01
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| Colecção: | Journal of Electrical Systems and Information Technology |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1186/s43067-026-00330-4 |
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