This translation system employs No Language Left Behind to enhance communication in the Palembang language, suggesting improvements for regional languages.
Key Points
The automatic translation system significantly improves communication between Palembang and Indonesian speakers.
Initial BLEU score of 22.55 improved to 30.72, indicating a marked enhancement in translation quality.
The dataset included 7,917 sentence pairs, building a robust foundation for training the translation models.
This research highlights the role of artificial intelligence in preserving regional languages through technological advancements.