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Natural Language Processing in Ethiopian Languages: Current State, Challenges, and Opportunities

Domaine:

natural language processing

Type de record:

paperdatasetsoftware
Créateur:
Tonja, Atnafu LambeboBelAziAye
Hôte:avatar
This survey delves into the current state of natural language processing (NLP) for four Ethiopian languages: Amharic, Afaan Oromo, Tigrinya, and Wolaytta. Through this paper, we identify key challenges and opportunities for NLP research in Ethiopia. Furthermore, we provide a centralized repository on GitHub that contains publicly available resources for various NLP tasks in these languages. This repository can be updated periodically with contributions from other researchers. Our objective is to identify research gaps and disseminate the information to NLP researchers interested in Ethiopian languages and encourage future research in this domain. Accepted to Fourth workshop on Resources for African Indigenous Languages (RAIL), EACL2023

Visit

arxiv.org

Languages

AmharicOromoOromo, Borana-Arsi-GujiTigrignaWolaytta

Tags

Computation and Language

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{ "background": "Natural Language Processing (NLP) is a critical field within Computer Scie