Papers by Amanuel Mersha
Morphology-rich Alphasyllabary Embeddings (2020.lrec-1)
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| Challenge: | Word embeddings have been successfully trained in many languages, but evaluations in lesser-resourced languages have been cursory and highly variable. |
| Approach: | They propose to build a word embedding model suitable for the Semitic language of Amharic (Ethiopia) it is morphologically rich and written as an alphasyllabary rather than an alphabet . |
| Outcome: | The proposed model performs on word analogy tasks on the Semitic language of Amharic (Ethiopia) it is morphologically rich and written as an alphasyllabary rather than an alphabet . |