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Opus Mt It En

Developed by Helsinki-NLP
An Italian-to-English machine translation model based on Transformer architecture, developed by the Helsinki-NLP team and trained using the OPUS dataset.
Downloads 150.41k
Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Italian text into English, employing the transformer-align architecture and supporting standardized preprocessing with SentencePiece tokenization.

Model Features

Trained on OPUS dataset
Utilizes the large-scale multilingual parallel corpus OPUS for training, ensuring translation quality.
Standardized preprocessing
Employs standardized preprocessing and SentencePiece tokenization to enhance the model's ability to handle diverse text formats.
High-performance translation
Demonstrates excellent performance on multiple test sets, such as achieving a BLEU score of 70.9 on the Tatoeba dataset.

Model Capabilities

Italian-to-English text translation
Supports standardized text processing
Supports SentencePiece tokenization

Use Cases

Text translation
News translation
Translate Italian news into English
Achieved a BLEU score of 35.3 on the newssyscomb2009 test set
Daily conversation translation
Translate Italian daily conversations into English
Achieved a BLEU score of 70.9 on the Tatoeba test set
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