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Optimizing Indonesian-Sundanese Bilingual Translation with Adam-Based Neural Machine Translation

This research seeks to construct an automatic translation between Indonesian and Sundanese languages based on the Neural Machine Translation (NMT) method. The model used in this study is the Long Short-Term Memory (LSTM) type, which carries out an encoder-decoder structure model learned with Bible d...

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Auteurs principaux: Anita Qotrun Nada, Aji Prasetya Wibawa, Dhea Fanny Putri Syarifa, Erliana Fajarwati, Fadia Irsania Putri
Format: Artigo
Langue:Inglês
Publié: Ikatan Ahli Informatika Indonesia 2024-12-01
Collection:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
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Accès en ligne:https://jurnal.iaii.or.id/index.php/RESTI/article/view/6116
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