Place holder for HOPE: a human-centric and task-oriented MT evaluation framework using professional post-editing

Last update: Apr 25, 2022

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HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation

Place holder for data sharing for translation evaluation framework HOPE: a human-centric and task-oriented MT evaluation framework using professional post-editing

File instruction: "Test22-scoring-10-9-2021.xlsm": the 111 segments of English-to-Russian MT using GoogleMT and another System, including data of human offered reference translations, scoring sheeting using HOPE evaluation framework. Open-source for non-profit research. For comercial usage, please contact: @copyright Logrus Global <serge.gladkoff [at] logrusglobal.com> https://logrusglobal.com

Owner

Lifeng Han

natural language processing, machine translation, evaluation models, Mathematical modeling, athlete, writer.

GitHub Repository

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This repo holds code for TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

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Place holder for HOPE: a human-centric and task-oriented MT evaluation framework using professional post-editing

Related tags

Overview

HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation

Owner

Lifeng Han

Real-Time Social Distance Monitoring tool using Computer Vision

VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning

This repo holds code for TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Pytorch implementation of the DeepDream computer vision algorithm

Data from "HateCheck: Functional Tests for Hate Speech Detection Models" (Röttger et al., ACL 2021)

Official PyTorch Implementation of Hypercorrelation Squeeze for Few-Shot Segmentation, arXiv 2021

Plover-tapey-tape: an alternative to Plover’s built-in paper tape

Cmsc11 arcade - Final Project for CMSC11

Learning from Synthetic Shadows for Shadow Detection and Removal [Inoue+, IEEE TCSVT 2020].

Deep Residual Learning for Image Recognition

Code for Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

Pose Detection and Machine Learning for real-time body posture analysis during exercise to provide audiovisual feedback on improvement of form.

Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation

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Source code for the paper "PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction" in ACL2021

A general, feasible, and extensible framework for classification tasks.