Now 8420 visitors
Today:0 Yesterday:0
Total: 163068 216S 51P 5R
2026-10-22, Week 43
Member Login
TACT Journal Homepage
Call for Paper
Committee
Find My Paper
Author Homepage
Statistics & History
Welcome Message
Paper Procedure
FAQ
Paper Archives
Outstanding Papers
Program & Proceedings
Presentation Platform
Hotel & Travel Info
Photo Gallery
Scheduler Login
Seminar
Archives Login
Sponsors




















IEEE/ICACT20240321 Question.1
Questioner: maisamali053@gmail.com    2024-02-03 ¿ÀÈÄ 5:33:22
IEEE/ICACT20240321 Answer.1
Answer by Auhor yanghao30@huawei.com   2024-02-03 ¿ÀÈÄ 5:33:22
What are the two primary categories of Machine Translation Quality Estimation (QE), and how is QE formally represented as a function? There are two primary categories of Machine Translation Quality Estimation (QE): Sentence Level Quality Prediction - Predicting the overall quality of a machine translation output without access to reference translations. This is usually framed as a regression or classification task to predict a quality score. Token Level Quality Prediction - Annotating machine translation output with word or phrase level quality labels, such as OK/BAD tags. This is usually framed as a sequence labeling task.

Select Voice