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Fine‐Tuned Pretrained Transformer for Amharic News Headline Generation

ABSTRACT Amharic is one of the under‐resourced languages, making news headline generation particularly challenging due to the scarcity of high‐quality linguistic datasets necessary for training effective natural language processing models. In this study, we fine‐tuned the small check point of the T5...

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Detalles Bibliográficos
Autores principales: Mizanu Zelalem Degu, Million Meshesha
Formato: Artigo
Lenguaje:Inglês
Publicado: Wiley 2024-09-01
Colección:Applied AI Letters
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Acceso en línea:https://doi.org/10.1002/ail2.98
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