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Akelew, 2023 - Google Patents

Morpheme Based Bi-Directional Machine Translation The Case of Ge'ez to Tigrigna

Akelew, 2023

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Document ID
17245364513188413116
Author
Akelew H
Publication year

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Snippet

Both Ge‟ ez and Tigrigna languages, which the native Ethiopian languages, are morphological rich and complex for bi-directional machine translation. To overcome this machine translation problem, this study explored the effect of morpheme-based translation …
Continue reading at repository.smuc.edu.et (PDF) (other versions)

Classifications

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    • G06F17/2809—Data driven translation
    • G06F17/2827—Example based machine translation; Alignment
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