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Opus Mt Sk En

Developed by Helsinki-NLP
A neural machine translation model for Slovak to English trained on OPUS data, utilizing Transformer architecture and SentencePiece preprocessing
Downloads 4,614
Release Time : 3/2/2022

Model Overview

This model is a neural machine translation system specialized in Slovak to English translation, trained on the large-scale multilingual parallel corpus OPUS.

Model Features

Transformer-based Architecture
Utilizes advanced Transformer architecture with improved long-range dependency handling
SentencePiece Preprocessing
Employs SentencePiece for text normalization and tokenization to enhance translation quality
OPUS Dataset Training
Trained on the large-scale multilingual parallel corpus OPUS, covering diverse domains

Model Capabilities

Text Translation
Cross-language Conversion
Sentence Alignment

Use Cases

Language Services
Document Translation
Automatically translate Slovak documents into English
Achieves 42.2 BLEU score on JW300 test set
Cross-language Communication
Facilitates real-time communication between Slovak and English speakers
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