Ethiopia's primary language, Amharic, is a low-resource language with limited translated content. Researchers have used a machine translation toolkit called Joeynmt to train data and translate sentences. The only available dataset is the Bible translation, which is insufficient.
Metadata
Author
Edosa Leta
Supervisor
Donart Ngarambe
Faculty
COMPUTER SCIENCE
Department
Not listed
Document type
Final Year Project
Year
2021
Keywords
Amharic, ancient languages, communication, english amharic translation, amharic translation neural, translation neural machine, neural machine translation, english amharic, amharic translation, translation neural
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License
all_rights_reserved
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