Opus Mt Fr Es
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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