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

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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Detalhes bibliográficos
Main Authors: Anita Qotrun Nada, Aji Prasetya Wibawa, Dhea Fanny Putri Syarifa, Erliana Fajarwati, Fadia Irsania Putri
Formato: Artigo
Idioma:English
Publicado em: Ikatan Ahli Informatika Indonesia 2024-12-01
Colecção:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Assuntos:
adam
bleu
indonesian
lstm
sundanese
Acesso em linha:https://jurnal.iaii.or.id/index.php/RESTI/article/view/6116

Internet

https://jurnal.iaii.or.id/index.php/RESTI/article/view/6116

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