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Opus Mt En It
An English-to-Italian machine translation model provided by the OPUS-MT project, based on the Transformer architecture and trained using the OPUS dataset.
Downloads 32.01k
Release Time : 3/2/2022
Model Overview
This model is a Transformer-based neural machine translation model specifically designed for translating English text into Italian. It was developed by the Helsinki-NLP team as part of the OPUS-MT project.
Model Features
Based on OPUS Dataset
Trained on the large-scale multilingual OPUS parallel corpus, covering texts from various domains.
Standardized Preprocessing
Utilizes standardized text processing and SentencePiece tokenization techniques to enhance translation quality.
Multi-test Set Validation
Performance evaluated on multiple test sets including newssyscomb2009, newstest2009, and Tatoeba.
Model Capabilities
English-to-Italian text translation
Handling general domain texts
Use Cases
Text Translation
News Translation
Translating English news content into Italian
Achieved a BLEU score of 30.9 on the newssyscomb2009 test set
Daily Language Translation
Translating everyday conversations and simple sentences
Achieved a BLEU score of 48.2 on the Tatoeba test set
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