Mar 21, 2024 · The paper categorizes the methods developed throughout the history of QE into those based on handcrafted features, deep learning, and Large ...
The paper categorizes the methods developed throughout the history of. QE into those based on handcrafted features, deep learning, and Large Language Models ( ...
Nov 9, 2024 · From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation ; Haofei Zhao ; Yilun Liu ; Shimin Tao.
Mar 21, 2024 · The paper categorizes the methods developed throughout the history of QE into those based on handcrafted features, deep learning, ...
Sep 30, 2024 · Bibliographic details on From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation.
Machine Translation Quality Estimation (MTQE) is the task of estimating the quality of machine-translated text in real time without the need for reference ...
This paper provides a brief survey of the evolution of machine translation quality estimation, from early approaches using handcrafted features to the recent ...
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Machine Translation Quality Estimation (MTQE) is the task of estimating the quality of machine-translated text in real time without the need for reference ...
Nov 21, 2024 · Machine Translation Quality Estimation (QE) aims to evaluate the quality of machine translation without relying on references.
This paper provides a brief survey of the evolution of machine translation quality estimation, from early approaches using handcrafted features to the recent ...