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Wmt21 Mlqe Ru En

Developed by inseq
This is a Russian-English neural machine translation model trained using the fairseq toolkit, previously used in the WMT21 Quality Estimation shared task
Machine Translation
Transformers
 Supports Multiple Languages#Russian-English Translation#WMT20 Competition Model#Dedicated for Quality Evaluation
Downloads 107
Release Time : 1/30/2023

Model Overview

This model is specifically designed for Russian-to-English machine translation tasks, employing neural machine translation technology. It was trained on WMT20-related datasets and used to generate translation results in the MLQE dataset

Model Features

High-Quality Russian-English Translation
Optimized specifically for Russian-to-English translation tasks, delivering high-quality translation results
WMT Competition Validation
Model performance validated through WMT machine translation competition tasks
Quality Evaluation Integration
This model was used to generate translation results for the WMT21 Quality Estimation (QE) shared task

Model Capabilities

Russian-to-English text translation
Batch text translation processing

Use Cases

Academic Research
Machine Translation Quality Evaluation
Used to generate translated texts required for quality evaluation tasks
Served as benchmark translations for the WMT21 Quality Estimation shared task
Commercial Applications
Russian-English Document Translation
Automatically translates Russian documents into English
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