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arXiv · 2310.14644

Multilingual k-Nearest-Neighbor Machine Translation

David Stap·Christof Monz
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Abstract

k-nearest-neighbor machine translation has demonstrated remarkable improvements in machine translation quality by creating a datastore of cached examples. However, these improvements have been limited to high-resource language pairs, with large datastores, and remain a challenge for low-resource languages. In this paper, we address this issue by combining representations from multiple languages into a single datastore. Our results consistently demonstrate substantial improvements not only in low-resource translation quality (up to +3.6 BLEU), but also for high-resource translation quality (up to +0.5 BLEU). Our experiments show that it is possible to create multilingual datastores that are a quarter of the size, achieving a 5.3x speed improvement, by using linguistic similarities for datastore creation.

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David Stap, Christof Monz. 2023-10-23. Multilingual k-Nearest-Neighbor Machine Translation. https://arxiv.org/abs/2310.14644

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