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Opus Mt De It
OPUS-MT German to Italian machine translation model based on Transformer architecture with SentencePiece tokenization
Downloads 1,488
Release Time : 3/2/2022
Model Overview
This model is a neural machine translation model based on Transformer architecture, specifically designed for translating German text into Italian. It is part of the OPUS-MT project and trained using publicly available parallel corpora.
Model Features
Transformer-based architecture
Utilizes advanced Transformer architecture to effectively capture long-range dependencies
SentencePiece tokenization
Employs SentencePiece for subword tokenization, improving handling of rare words
Alignment mechanism
Incorporates alignment mechanism to enhance translation quality
Model Capabilities
German to Italian text translation
Handling common domain texts
Support for subword-level processing
Use Cases
Text translation
Document translation
Translate German documents into Italian
Achieves 45.3 BLEU score on Tatoeba test set
Web content translation
Automatically translate German web content into Italian
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