Machine Translation and NLP Tools: Developing and Refining Language Technologies for African Languages
Author: Raphael Iyamu
Institution: University of Florida
Published in: International Journal for Multidisciplinary Research (IJFMR)
Volume: 6, Issue: 5, Date: September–October 2024
E-ISSN: 2582-2160
Publisher Site: www.ijfmr.com
Machine Translation (MT) and Natural Language Processing (NLP) tools have significantly evolved over the past few decades, leading to notable advancements in language technology. However, most of these developments have focused on high-resource languages such as English, Chinese, and European languages, while African languages remain underrepresented. This paper explores the challenges and opportunities in creating and refining MT and NLP models tailored to African languages. It discusses their unique linguistic features, the current state of tools, and outlines strategies for more inclusive language technology development.
Machine Translation, Natural Language Processing, African languages, linguistic structures, data scarcity, language technology
Please cite this work as:
Iyamu, R. (2024). Machine Translation and NLP Tools: Developing and Refining Language Technologies for African Languages. International Journal for Multidisciplinary Research (IJFMR), 6(5).
Or use the provided BibTeX in citation.bib.
This work is provided for academic and educational purposes only.