Comparative Analysis of Current Approaches to Quality Estimation for Neural Machine Translation

Comparative Analysis of Current Approaches to Quality Estimation for Neural Machine Translation

Quality estimation (QE) has recently gained increasing interest as it can predict the quality of machine translation results without a reference translation. QE is an annual shared task at the Conference on Machine Translation (WMT), and most recent studies have applied the multilingual pretrained l...

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Bibliographic Details
Main Authors: Sugyeong Eo, Chanjun Park, Hyeonseok Moon, Jaehyung Seo, Heuiseok Lim
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
quality estimation
neural machine translation
pretrained language model
multilingual pre-trained language model
WMT
Online Access:https://www.mdpi.com/2076-3417/11/14/6584

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https://www.mdpi.com/2076-3417/11/14/6584

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