Opus Mt Id En
A Transformer-based Indonesian-to-English machine translation model developed by the Helsinki-NLP team, trained on the OPUS dataset.
Downloads 29.53k
Release Time : 3/2/2022
Model Overview
This model is a Transformer-based neural machine translation model specifically designed for translating Indonesian text into English. It employs alignment mechanisms and SentencePiece preprocessing, trained on the OPUS dataset.
Model Features
Alignment mechanism
Uses transformer-align architecture to enhance alignment capability between source and target languages
Standardized preprocessing
Employs standardization and SentencePiece for text preprocessing to improve translation quality
OPUS dataset training
Trained on multi-domain OPUS parallel corpus with good generalization capability
Model Capabilities
Indonesian-to-English text translation
Handling translations of everyday language and professional terminology
Use Cases
Text translation
Document translation
Translate Indonesian documents into English
Achieved 47.7 BLEU score on Tatoeba test set
Web content translation
Real-time translation of Indonesian web content into English
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