From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation-Reference-Cited by-同舟云学术

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From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation

Published:2024-06-30 Issue: Volume:27 Page:1-10
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Zhao Haofei¹,Liu Yilun²,Tao Shimin²,Meng Weibin²,Chen Yimeng²,Geng Xiang³,Su Chang²,Zhang Min²,Yang Hao²

Affiliation:

1. Northeastern University,Shool of Computer Science and Engineering,Shenyang,China

2. Huawei,China

3. Nanjing University,National Key Laboratory for Novel Software Technology,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650457.pdf?arnumber=10650457

Reference67 articles.

1. Bleu: a method for automatic evaluation of machine translation;Papineni

2. Meteor: An automatic metric for mt evaluation with improved correlation with human judgments;Banerjee

3. A study of translation edit rate with targeted human annotation;Snover

4. Estimating the sentence-level quality of machine translation systems;Specia

5. Large language models are state-of-the-art evaluators of translation quality;Kocmi,2023

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