Benchmarking Azerbaijani Neural Machine Translation

Chih-Chen Chen; William Chen

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arXiv · 2207.14473

Benchmarking Azerbaijani Neural Machine Translation

Chih-Chen Chen·William Chen

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Abstract

Little research has been done on Neural Machine Translation (NMT) for Azerbaijani. In this paper, we benchmark the performance of Azerbaijani-English NMT systems on a range of techniques and datasets. We evaluate which segmentation techniques work best on Azerbaijani translation and benchmark the performance of Azerbaijani NMT models across several domains of text. Our results show that while Unigram segmentation improves NMT performance and Azerbaijani translation models scale better with dataset quality than quantity, cross-domain generalization remains a challenge

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Chih-Chen Chen, William Chen. 2022-07-29. Benchmarking Azerbaijani Neural Machine Translation. https://arxiv.org/abs/2207.14473

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