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Opus Mt Fr Es

Developed by Helsinki-NLP
OPUS-MT machine translation model from French to Spanish, based on Transformer architecture, trained using the OPUS dataset.
Downloads 8,911
Release Time : 3/2/2022

Model Overview

This model is a Transformer-based neural machine translation model specifically designed for translating French text into Spanish. It was developed by the Helsinki-NLP team and trained using the OPUS multilingual parallel corpus.

Model Features

Transformer-based Architecture
Utilizes the advanced Transformer architecture to deliver high-quality translation results.
Uses OPUS Dataset
Training data is sourced from the multilingual OPUS parallel corpus, covering a wide range of domains and contexts.
Standardized Preprocessing
Input text undergoes standardization and SentencePiece tokenization to enhance translation accuracy and consistency.

Model Capabilities

Text translation from French to Spanish
Supports translation across various domains

Use Cases

Text Translation
News Translation
Translate French news articles into Spanish
Achieved a BLEU score of 38.3 on the newstest2011 test set
Daily Conversation Translation
Translate daily conversations between French and Spanish
Achieved a BLEU score of 53.2 on the Tatoeba test set
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