An Enhancement of African Low-Resource Corpora with NLP IgboT5

Abstract

This paper adopts the Text-to-Text Transfer Transformer (T5) for the Igbo language Natural Language Processing Tasks. IgboT5 enhances the previous digital Igbo Thesaurus through the creation of a high-quality Igbo dataset. The paper fine-tunes a multilingual T5 model and evaluates it on tasks such as definition generation, paraphrasing, translation, and context completion. This paper contributes to the advancement of low resource African languages and opens doors for future Natural Language Processing (NLP) applications.