Unreferenced English articles' translation quality-oriented automatic evaluation technology using sparse autoencoder under the background of deep learning.
Currently, both manual and automatic evaluation technology can evaluate the translation quality of unreferenced English articles, playing a particular role in detecting translation results. Still, their deficiency is the lack of a close or noticeable relationship between evaluation time and evaluati...
Main Authors: | Hanhui Li, Jie Deng |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0270308 |
Similar Items
-
Unreferenced English articles’ translation quality-oriented automatic evaluation technology using sparse autoencoder under the background of deep learning
by: Hanhui Li, et al.
Published: (2022-01-01) -
QAScore—An Unsupervised Unreferenced Metric for the Question Generation Evaluation
by: Tianbo Ji, et al.
Published: (2022-10-01) -
Unreferenced spatial localization under monocular and dichoptic viewing conditions
by: Apoorva Karsolia, et al.
Published: (2021-11-01) -
Optimisation of sparse deep autoencoders for dynamic network embedding
by: Huimei Tang, et al.
Published: (2024-12-01) -
Detection of Pitting in Gears Using a Deep Sparse Autoencoder
by: Yongzhi Qu, et al.
Published: (2017-05-01)