AfriMMT-EA: Multi-domain Machine Translation for Low-Resource East African Languages

Record type:

paper

Creator:

NaoKelNatDav

Publisher:

Ass

Host:

Visit

doi.org

Tasks

machine translation

Selecting data for multilingual multi-domain neural machine translation on low resource languages

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] While machine translation ha

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Low-resource African languages have not fully benefited from the progress in neural machine translat

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Human evaluation dataset to evaluate machine translation systems to and from Amharic, English and Tigrinya.

Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarity

Fine-tuning and testing a multilingual large language model is expensive and challenging for low-res