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Opus Mt Tc Big It En

Developed by Helsinki-NLP
This is a neural machine translation model for Italian-to-English translation, part of the OPUS-MT project, using the transformer-big architecture.
Downloads 175
Release Time : 4/13/2022

Model Overview

This model is specifically designed for translating Italian text into English, trained on the transformer-big architecture, supporting high-quality machine translation tasks.

Model Features

High-performance translation
Performs exceptionally well on multiple test sets, such as achieving a BLEU score of 72.1 on tatoeba-test-v2021-08-07.
Multi-dataset training
Training data comes from the OPUS project, including datasets like opusTCv20210807+bt, ensuring broad coverage of texts from various domains.
Open-source license
Uses the cc-by-4.0 license, allowing free use and sharing.

Model Capabilities

Italian-to-English text translation
Supports translation across multiple text domains

Use Cases

Text translation
Daily conversation translation
Translates Italian daily conversations into English.
Achieved a BLEU score of 72.1 on the tatoeba-test-v2021-08-07 dataset.
News translation
Translates Italian news content into English.
Achieved a BLEU score of 34.3 on the newstest2009 dataset.
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