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Opus Mt Bi Sv

Developed by Helsinki-NLP
A neural machine translation model trained on the OPUS dataset for Bislama (bi) to Swedish (sv) translation
Downloads 17
Release Time : 3/2/2022

Model Overview

This model is a neural machine translation model based on the Transformer architecture, specifically designed for translating Bislama into Swedish. It is trained on the OPUS dataset using normalization and SentencePiece preprocessing techniques.

Model Features

Based on OPUS dataset
Trained using the multi-domain, high-quality OPUS parallel corpus
Transformer architecture
Utilizes the advanced transformer-align architecture with improved alignment capabilities
Standardized preprocessing
Employs normalization and SentencePiece techniques for text preprocessing

Model Capabilities

Text translation from Bislama to Swedish
Supports translation across various domains

Use Cases

Language translation
Document translation
Translate Bislama documents into Swedish
Achieves 22.7 BLEU score on the JW300 test set
Cross-language communication
Facilitates communication between Bislama and Swedish speakers
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