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Authors: Andargachew Mekonnen Gezmu 1 ; Andreas Nürnberger 1 and Tesfaye Bayu Bati 2

Affiliations: 1 Faculty of Computer Science, Otto von Guericke Universität Magdeburg, Universitätsplatz 2, Magdeburg, Germany ; 2 Faculty of Informatics, Hawassa University, Hawassa, Ethiopia

Keyword(s): Neural Machine Translation, Low-resource Language, Subword.

Abstract: This paper describes neural machine translation between orthographically and morphologically divergent languages. Amharic has a rich morphology; it uses the syllabic Ethiopic script. We used a new transliteration technique for Amharic to facilitate vocabulary sharing. To tackle the highly inflectional morphology and to make an open vocabulary translation, we used subwords. Furthermore, the research was conducted on low-data conditions. We used the transformer-based neural machine translation architecture by tuning the hyperparameters for low-data conditions. In the automatic evaluation of the strong baseline, word-based, and subword-based models trained on a public benchmark dataset, the best subword-based models outperform the baseline models by approximately six up to seven BLEU.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Gezmu, A. ; Nürnberger, A. and Bati, T. (2021). Neural Machine Translation for Amharic-English Translation. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI; ISBN 978-989-758-484-8; ISSN 2184-433X, SciTePress, pages 526-532. DOI: 10.5220/0010383905260532

@conference{nlpinai21,
author={Andargachew Mekonnen Gezmu and Andreas Nürnberger and Tesfaye Bayu Bati},
title={Neural Machine Translation for Amharic-English Translation},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI},
year={2021},
pages={526-532},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010383905260532},
isbn={978-989-758-484-8},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI
TI - Neural Machine Translation for Amharic-English Translation
SN - 978-989-758-484-8
IS - 2184-433X
AU - Gezmu, A.
AU - Nürnberger, A.
AU - Bati, T.
PY - 2021
SP - 526
EP - 532
DO - 10.5220/0010383905260532
PB - SciTePress

- Science and Technology Publications, Lda.
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