Quality Estimation from scraTCH
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Updated
Jun 21, 2016 - Python
Quality Estimation from scraTCH
Evaluation scripts for the 2019 machine translation quality estimation shared task
This contains RNN based word level quality estimation, and Part-of-Speech-Tagger
Framework for neural-based Quality Estimation
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
Large and Distilled Models for Quality Estimation of Machine Translation
MBART Quality Estimator proposed in IST-Unbabel 2021 Submission for the Quality Estimation Shared Task
Open-Source Machine Translation Quality Estimation in PyTorch
Protein contact map quality estimation by evolutionary reconciliation
机器翻译子任务-翻译质量评价-在BERT模型后面加上Bi-LSTM进行fine-tuning
Code and information for face image quality assessment with SER-FIQ
Code and data for the paper "Disentangling Uncertainty in Machine Translation Evaluation", accepted at EMNLP 2022.
Transformer based translation quality estimation
Natural Language Processing
Pixel-Level Face Image Quality Assessment for Explainable Face Recognition
This repo contains the code for the paper "Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation"
Web service for evaluating protein structure models
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