Opus Mt Sv Id
A Transformer-based neural machine translation model for Swedish to Indonesian, developed by Helsinki-NLP team and trained on OPUS dataset.
Downloads 906
Release Time : 3/2/2022
Model Overview
This model is specifically designed for translating Swedish text into Indonesian, utilizing standard Transformer architecture and SentencePiece tokenization, suitable for general text translation tasks.
Model Features
Trained on OPUS dataset
Trained on the large-scale multilingual parallel corpus OPUS, covering texts from various domains.
Transformer architecture
Utilizes standard Transformer architecture with alignment mechanism to ensure translation quality.
Standardized preprocessing
Input text undergoes standardized processing and SentencePiece tokenization to enhance model robustness.
Model Capabilities
Swedish to Indonesian text translation
Handles general domain texts
Supports batch translation
Use Cases
Text translation
Document translation
Translate Swedish documents into Indonesian
Achieved 35.6 BLEU score on JW300 test set
Content localization
Localize Swedish content for Indonesian users
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