NLAPOST2021 1st Shared Task on Part-of-Speech Tagging for Nguni Languages

Authors

  • Franziska Pannach Göttingen Centre for Digital Humanities (GCDH), Georg-August Universität Göttingen
  • Francois Meyer University of Cape Town
  • Edgar Jembere University of Kwa-Zulu Natal
  • Sibonelo Zamokuhle Dlamini University of Kwa-Zulu Natal

DOI:

https://doi.org/10.55492/dhasa.v3i01.3865

Keywords:

Shared Task, Competition, Southern African Languages, Part-of-Speech Tagging

Abstract

Parts of Speech Tagging (POS Tagging) is a process of assigning labels to each word in text, to indicate its lexical category based on the context it appears in. The POS tagging problem is considered a mostly solved problem in languages with a lot of NLP resources such as English. However, this problem is still an open problem for languages with less NLP resources such as the Nguni languages. This is owing to unavailability of large amounts of labelled data to train POS tagging models. The rich morphological structure and the agglutinative nature of these languages make the POS tagging problem more challenging when compared to a language like English. With this in mind, we have organised a challenge for training POS Tagging models on a limited amount of data for four Nguni languages: isiZulu, siSwati, isiNdebele, and isiXhosa.

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Published

2022-02-25

How to Cite

NLAPOST2021 1st Shared Task on Part-of-Speech Tagging for Nguni Languages. (2022). Journal of the Digital Humanities Association of Southern Africa , 3(01). https://doi.org/10.55492/dhasa.v3i01.3865