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Wmt20 Mlqe Ro En
Romanian-English neural machine translation model trained with the fairseq toolkit for the WMT20 quality estimation shared task
Downloads 16
Release Time : 1/30/2023
Model Overview
This model is a neural machine translation model specifically designed for Romanian-to-English translation tasks, which participated in the WMT20 quality estimation shared task.
Model Features
High-quality translation
Optimized for Romanian-to-English translation, performed well in the WMT20 quality estimation task
Multilingual support
In addition to the main translation direction, it also has certain multilingual processing capabilities
Based on fairseq framework
Trained using PyTorch's fairseq toolkit with strong compatibility
Model Capabilities
Romanian to English text translation
Multilingual text processing
Use Cases
Machine translation
Document translation
Translate Romanian documents into English
High-quality English translation output
Content localization
Assist Romanian content creators in localizing content into English
Accurate localized translations
Language research
Comparative language studies
Used for comparative analysis between Romanian and English languages
Provides accurate cross-linguistic correspondences
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