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arXiv · 2207.00552

Reduce Indonesian Vocabularies with an Indonesian Sub-word Separator

Mukhlis Amien·Feng Chong·Huang Heyan
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Abstract

Indonesian is an agglutinative language since it has a compounding process of word-formation. Therefore, the translation model of this language requires a mechanism that is even lower than the word level, referred to as the sub-word level. This compounding process leads to a rare word problem since the number of vocabulary explodes. We propose a strategy to address the unique word problem of the neural machine translation (NMT) system, which uses Indonesian as a pair language. Our approach uses a rule-based method to transform a word into its roots and accompanied affixes to retain its meaning and context. Using a rule-based algorithm has more advantages: it does not require corpus data but only applies the standard Indonesian rules. Our experiments confirm that this method is practical. It reduces the number of vocabulary significantly up to 57\%, and on the English to Indonesian translation, this strategy provides an improvement of up to 5 BLEU points over a similar NMT system that does not use this technique.

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Mukhlis Amien, Feng Chong, Huang Heyan. 2022-07-01. Reduce Indonesian Vocabularies with an Indonesian Sub-word Separator. https://arxiv.org/abs/2207.00552

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