Work

FLEURS-Kobani: Extending the FLEURS Dataset for Northern Kurdish

Year: 2026

Type: conference-paper

Abstract: International audience

Source: HAL (Le Centre pour la Communication Scientifique Directe)

Authors: Jaff, Daban, Q, Mohammadamini, Mohammad

Institutions: University of Erfurt, Koya University, Laboratoire d’Informatique de l’Université du Mans

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Deutscher Akademischer Austauschdienst, Universität Erfurt

Award: G7705503227

OpenAlex ID: W7142569044

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