Proceedings of the First Workshop in South East Asian Language Processing 2023
DOI: 10.18653/v1/2023.sealp-1.8
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Replicable Benchmarking of Neural Machine Translation (NMT) on Low-Resource Local Languages in Indonesia

Lucky Susanto,
Ryandito Diandaru,
Adila Krisnadhi
et al.

Abstract: Neural machine translation (NMT) for lowresource local languages in Indonesia faces significant challenges, including the need for a representative benchmark and limited data availability. This work addresses these challenges by comprehensively analyzing training NMT systems for four low-resource local languages in Indonesia: Javanese, Sundanese, Minangkabau, and Balinese. Our study encompasses various training approaches, paradigms, data sizes, and a preliminary study into using large language models for synt… Show more

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