Siswati Part of Speech Tagger: A Quantitative Evaluation.

This article evaluates the performance of the Siswati Text Annotation Tool part of speech (STAT POS) tagger using Recall, Precision and F1 score metrics. A quantitative research design was adopted for analysis, and data was collected through purposive sampling. Python 3 was utilised to calculate the...

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Detalles Bibliográficos

Publicado en:	Journal of the Digital Humanities Association of Southern Africa (DHASA) Vol. 6; no. 2; pp. 1 - 8
Autor principal:	Matfunjwa, Muzi
Formato:	Artículo
Publicado:	Digital Humanities Association of Southern Africa (DHASA) 2025
Materias:	Natural language processing Quantitative research Python programming language Language & languages
Acceso en línea:	Ver este registro en EBSCOhost