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Opus Mt Sk Es

Developed by Helsinki-NLP
A Transformer-based Slovak to Spanish machine translation model developed by the Helsinki-NLP team, trained using the OPUS dataset.
Downloads 190
Release Time : 3/2/2022

Model Overview

This model is a Transformer-based neural machine translation model specifically designed for translating Slovak to Spanish. It employs alignment mechanisms and SentencePiece preprocessing techniques, suitable for general text translation tasks.

Model Features

Transformer-based alignment architecture
Utilizes the transformer-align architecture to better handle language alignment issues and improve translation quality.
Standardized preprocessing
Employs normalization and SentencePiece techniques for text preprocessing, enhancing the model's ability to handle different text formats.
Trained on OPUS dataset
Trained on the multi-domain OPUS dataset, providing robust general translation capabilities.

Model Capabilities

Text translation
Cross-language conversion

Use Cases

General translation
Document translation
Translate Slovak documents into Spanish
Achieved a BLEU score of 29.6 on the JW300 test set
Web content localization
Assist in localizing web content from Slovak to Spanish
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