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Opus Mt He De

Developed by Helsinki-NLP
A Transformer-based Hebrew to German machine translation model developed by the Helsinki-NLP team, trained on the OPUS dataset.
Machine Translation
Transformers
 Supports Multiple LanguagesOpen Source License:Apache-2.0#Hebrew-German translation#Transformer-based#Multi-domain applicability
Downloads 59
Release Time : 3/2/2022

Model Overview

This model is a Transformer-based neural machine translation model specifically designed for translating Hebrew (he) to German (de). It employs alignment mechanisms and SentencePiece preprocessing techniques, trained on the OPUS dataset.

Model Features

Transformer-based alignment architecture
Utilizes the transformer-align architecture to better handle alignment relationships between Hebrew and German.
SentencePiece preprocessing
Employs SentencePiece for text normalization and tokenization, enhancing translation quality.
Trained on OPUS dataset
Trained on the high-quality OPUS multilingual dataset, covering a wide range of translation scenarios.

Model Capabilities

Hebrew to German text translation
Handling formal and informal text translation
Support for multi-domain text translation

Use Cases

Text translation
Document translation
Translate Hebrew documents into German
Achieved a BLEU score of 45.5 on the Tatoeba test set
Web content translation
Real-time translation of Hebrew web content into German
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