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POS tagging of low-resource Pashto language: annotated corpus and BERT-based model.

This paper presents the development of a comprehensive part-of-speech (POS) annotated corpus for the low-resource Pashto language, along with a deep learning model for automatic POS tagging. The corpus comprises approximately 700K words (30K sentences), labeled for word boundaries, considering Pasht...

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Publicado en:Language Resources & Evaluation Vol. 59; no. 3; pp. 3243 - 3266
Autores principales: Haq, Ijazul, Zhang, Yingjie, Qadri, Intakhab Alam
Formato: Conference Paper/Materials
Publicado: Springer Nature Sep2025
Materias:
Natural language processing
Deep learning
Grammatical categories
Statistical accuracy
Corpora
Language models
Acceso en línea:Ver este registro en EBSCOhost