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Opus Mt Es Es

Developed by Helsinki-NLP
A Transformer-based Spanish-to-Spanish machine translation model developed by the Helsinki-NLP team.
Downloads 348
Release Time : 3/2/2022

Model Overview

This model is an autoregressive sequence-to-sequence model specifically designed for Spanish-to-Spanish translation tasks. It is based on the Transformer architecture and trained using alignment mechanisms.

Model Features

Transformer-based architecture
Utilizes the advanced Transformer architecture with powerful sequence modeling capabilities.
Alignment mechanism
Employs alignment mechanisms to enhance translation quality, especially for long sentences.
Standardized preprocessing
Uses standardization and SentencePiece for text preprocessing to improve model robustness.

Model Capabilities

Spanish text translation
Maintaining semantic consistency
Handling long sentence translation

Use Cases

Text processing
Spanish text paraphrasing
Rewriting Spanish text into alternative expressions while preserving the original meaning.
Achieved a BLEU score of 51.7 on the Tatoeba test set
Spanish content localization
Adapting Spanish content to regional linguistic preferences.
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