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Zahnur

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Open access Sep 2026

Evaluating the Performance of the No Language Left Behind Encoder for Sentiment Classification Across Multiple Indonesian Regional Languages

This study aims to evaluate the performance of the encoder from the No  Language Left Behind (NLLB) model for sentiment classification tasks  across several Indonesian regional languages. Originally developed for  machine translation, the NLLB model is explored for its ability to generate  contextual text representatio...

Zul Akhyar, Zahnur, Kikye Martiwi Sukiakhy et al. · 0 citations

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