Opus Mt Ja De
Japanese to German neural machine translation model trained on OPUS dataset, using transformer-align architecture
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Release Time : 3/2/2022
Model Overview
This model is a neural machine translation model based on Transformer architecture, specifically designed for translating Japanese text into German. It was developed by the Helsinki-NLP team and trained using the OPUS multilingual parallel corpus.
Model Features
Based on OPUS dataset
Trained using the high-quality multilingual parallel corpus OPUS
Transformer architecture
Utilizes advanced transformer-align architecture for better alignment and translation quality
Standardized preprocessing
Employs standardization and SentencePiece for text preprocessing
Model Capabilities
Japanese to German text translation
Handling translations of everyday language and professional terminology
Use Cases
Text translation
Document translation
Translate Japanese documents into German
Achieved 30.1 BLEU score on Tatoeba test set
Website localization
Assist in localizing Japanese website content into German
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