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Developed by Helsinki-NLP
This is a German-to-Estonian machine translation model based on the Transformer architecture, developed by the Helsinki-NLP team.
Downloads 18
Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating German text into Estonian, employing the standard Transformer architecture and SentencePiece preprocessing method.

Model Features

Based on OPUS Dataset
The model is trained using the OPUS multilingual parallel corpus, ensuring translation quality.
Standardized Preprocessing
Utilizes standardized and SentencePiece preprocessing methods, enhancing the model's ability to handle different text formats.
Alignment Mechanism
Uses the transformer-align architecture to strengthen alignment capabilities between source and target languages.

Model Capabilities

German-to-Estonian text translation
Handling standardized text input
Generating fluent target language output

Use Cases

Text Translation
Document Translation
Translate German documents into Estonian
Achieved a BLEU score of 24.6 on the JW300 test set
Web Content Localization
Translate German web content into Estonian versions
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