We introduced the contemporary Amharic corpus, which is automatically tagged for morpho-
syntactic information. Texts are collected from 25,199 documents from different domains and …

In this paper, a misspelling detection and correction system was developed for Ethiopian
languages (Amharic, Afan Oromo, Tigrinya, Hadiyyisa, Kambatissa, and Awngi). For some of …

This paper describes the acquisition, preprocessing, segmentation, and alignment of an
Amharic-English parallel corpus. It will be helpful for machine translation of a low-resource …

The progress of Natural Language Processing (NLP), although fast in recent years, is not at
the same pace for all languages. African languages in particular are still behind and lack …

One of the most extensively researched applications in natural language processing (NLP)
is sentiment analysis. While the majority of the study focuses on high-resource languages …

Word sense disambiguation (WSD) plays an important role, in increasing the performance of
NLP applications such as information extraction, information retrieval, and machine …

This paper presents a manually annotated spelling error corpus for Amharic, lingua franca in
Ethiopia. The corpus is designed to be used for the evaluation of spelling error detection and …

In the realm of natural language processing (NLP), sentiment analysis has traditionally
focused on resource-rich languages like English, often overlooking the linguistic diversity …

Neural approaches, which are currently state-of-the-art in many areas, have contributed
significantly to the exciting advancements in machine translation. However, Neural Machine …

This dissertation centers on Natural Language Processing (NLP) for African languages,
endeavoring to unravel the progress, challenges, and future prospects within this linguistic …