Papers with Oromo
Large Vocabulary Read Speech Corpora for Four Ethiopian Languages: Amharic, Tigrigna, Oromo and Wolaytta (2020.lrec-1)
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Solomon Teferra Abate, Martha Yifiru Tachbelie, Michael Melese, Hafte Abera, Tewodros Abebe, Wondwossen Mulugeta, Yaregal Assabie, Million Meshesha, Solomon Afnafu, Binyam Ephrem Seyoum
| Challenge: | Automatic Speech Recognition (ASR) is one of the most important technologies to support spoken communication in modern life. |
| Approach: | They have developed four large speech corpora for four Ethiopian languages . they have word error rates of 37.65%, 31.03%, 38.02%, 33.89% for each language . |
| Outcome: | The proposed corpora achieve word error rates of 37.65%, 31.03%, 38.02%, 33.89% for Amharic, Tigrigna, Oromo and Wolaytta. |
Afaan Oromo Hate Speech Detection and Classification on Social Media (2022.lrec-1)
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| Challenge: | Hate and offensive speech on social media is a global problem that suffers the community especially, for an under-resourced language like Afaan Oromo. |
| Approach: | They develop a model to detect and classify Afaan Oromo hate speech on social media using different machine learning algorithms. |
| Outcome: | The proposed model outperforms existing models in gender, religion, race, and offensive speech on social media. |