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Hate Speech Detection and Classification in Amharic Text with Deep Learning

arXiv.org
Hate speech is a growing problem on social media. It can seriously impact society, especially in countries like Ethiopia, where it can trigger conflicts among diverse ethnic and religious groups. While hate speech detection in resource rich languages are
Samuel Minale Gashe   +2 more
semanticscholar   +1 more source

Semantically Corrected Amharic Automatic Speech Recognition

arXiv.org
Automatic Speech Recognition (ASR) can play a crucial role in enhancing the accessibility of spoken languages worldwide. In this paper, we build a set of ASR tools for Amharic, a language spoken by more than 50 million people primarily in eastern Africa.
Samuael Adnew, Paul Pu Liang
semanticscholar   +1 more source

Advancing Media Objectivity: A Deep Learning Model for Detection of Bias in Amharic News

2024 International Symposium of Systems, Advanced Technologies and Knowledge (ISSATK)
Detecting bias in news stories is critical for maintaining media objectivity and fostering a well-informed public. This task becomes particularly challenging for languages with limited natural language processing resources, such as Amharic.
Mengistu Zenebe Teka   +1 more
semanticscholar   +1 more source

Concise Amharic Dictionary: Amharic-English, English-Amharic

The Modern Language Journal, 1978
John Clear, Wolf Leslau
openaire   +1 more source

Amharic

Journal of the International Phonetic Association, 1992
Katrina Hayward, Richard J. Hayward
openaire   +1 more source

Amharic

2020
Aaron D. Rubin, Lily Kahn
openaire   +1 more source

Amharic Textbook

Journal of the American Oriental Society, 1970
Robert Hetzron, Wolf Leslau
openaire   +1 more source

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