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Opus Mt Sl Fr

Developed by Helsinki-NLP
Slovenian to French machine translation model trained on OPUS dataset, using transformer-align architecture
Downloads 18
Release Time : 3/2/2022

Model Overview

This model is a neural machine translation model based on Transformer architecture, specifically designed for translating Slovenian to French. The model was trained on the OPUS dataset using normalization and SentencePiece preprocessing techniques.

Model Features

Based on OPUS dataset
Trained using the large-scale multilingual parallel corpus OPUS, covering diverse domains
transformer-align architecture
Utilizes Transformer model with alignment mechanism to improve translation accuracy
Normalized preprocessing
Employs normalization and SentencePiece techniques for text preprocessing

Model Capabilities

Slovenian to French text translation
Handling general domain text translation

Use Cases

Text translation
Document translation
Translate Slovenian documents into French
Achieved 25.0 BLEU score on JW300 test set
Content localization
Localize Slovenian content for French-speaking users
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