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Opus Mt De Et

Developed by Helsinki-NLP
A German to Estonian machine translation model provided by the OPUS-MT project, based on Transformer architecture and SentencePiece preprocessing
Downloads 26
Release Time : 3/2/2022

Model Overview

This is a neural machine translation model based on the Transformer architecture, specifically designed for translating German text into Estonian. The model was trained and released by the Helsinki-NLP team as part of the OPUS-MT project.

Model Features

Transformer-based Architecture
Utilizes advanced Transformer architecture to deliver high-quality translation results
SentencePiece Preprocessing
Employs SentencePiece for text normalization and tokenization, enhancing model processing capabilities
Trained on OPUS Dataset
Trained on the large-scale multilingual OPUS dataset, offering extensive language coverage

Model Capabilities

Text translation from German to Estonian
Processing standardized text input
Generating fluent target language output

Use Cases

Text Translation
Document Translation
Translate German documents into Estonian
Achieved a BLEU score of 20.2 on the JW300 test set
Content Localization
Assist in localizing German content into Estonian
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