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Developed by Helsinki-NLP
This is a Vietnamese-to-Spanish machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team and released under the Tatoeba-Challenge project.
Downloads 122
Release Time : 3/2/2022

Model Overview

This model is specifically designed for Vietnamese-to-Spanish text translation tasks, employing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

Multilingual support
Supports translation from Vietnamese and its Han script variant to standard Spanish
Efficient tokenization
Uses SentencePiece tokenization technology (spm32k) for text preprocessing
Alignment architecture
Employs transformer-align architecture to optimize translation alignment effects

Model Capabilities

Vietnamese-to-Spanish text translation
Handling Vietnamese Han script variants

Use Cases

Language services
Document translation
Translate Vietnamese documents into Spanish
Achieved 32.9 BLEU score on the Tatoeba test set
Cross-language communication
Facilitates communication between Vietnamese and Spanish speakers
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