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Opus Mt En Id

Developed by Helsinki-NLP
opus-mt-en-id is a machine translation model based on the Transformer architecture, specifically designed for translating English to Indonesian. This model was trained and released by the Natural Language Processing team at the University of Helsinki.
Downloads 9,880
Release Time : 3/2/2022

Model Overview

This model is a machine translation model trained on the OPUS dataset, utilizing the Transformer-align architecture, and supports English-to-Indonesian translation tasks.

Model Features

Trained on OPUS dataset
The model was trained using the OPUS dataset, ensuring translation quality and diversity.
Transformer-align architecture
Utilizes the Transformer-align architecture, optimizing translation alignment effects.
Standardized preprocessing
Input text undergoes standardized and SentencePiece preprocessing, improving translation accuracy.

Model Capabilities

English-to-Indonesian text translation

Use Cases

Text translation
Document translation
Translates English documents into Indonesian, suitable for cross-language document processing.
Achieved a BLEU score of 38.3 and chr-F score of 0.636 on the Tatoeba test set.
Real-time translation
Integrated into applications to provide real-time English-to-Indonesian translation services.
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