Opus Mt Nl Sv
A Transformer-based neural machine translation model for Dutch to Swedish, developed by the Helsinki-NLP team.
Downloads 33
Release Time : 3/2/2022
Model Overview
This model is a machine translation model trained on the OPUS multilingual corpus, specifically designed for translating Dutch text into Swedish. It employs the Transformer-align architecture, supports standardized preprocessing, and uses SentencePiece tokenization.
Model Features
Alignment-Enhanced Translation
Uses the transformer-align architecture to explicitly model word alignment relationships during translation.
Standardized Preprocessing
Input text undergoes standardized processing to improve translation quality consistency.
SentencePiece Tokenization
Employs subword unit tokenization to effectively handle out-of-vocabulary words.
Model Capabilities
Text Translation
Cross-language Conversion
Use Cases
Content Localization
News Translation
Translating Dutch news content into Swedish versions
Achieved 25.0 BLEU score on the GlobalVoices test set
Document Translation
Cross-language conversion of business or technical documents
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