Examining Manual and Automatic MT Evaluation: A Grey Relational Analysis for Chinese-Portuguese Translation Quality

研究成果: Conference contribution同行評審

摘要

This study investigates the relationship between manual and automatic machine translation evaluation methodologies by employing Grey Correlation Analysis (GRA) to assess the correlation between Chinese-Portuguese machine translation outputs' BLEU scores and human evaluation scores based on a proposed evaluation index system. The research aims to provide insights into the factors impacting machine translation quality and the most relevant linguistic dimensions in translation evaluation. The findings reveal that 'usability' and 'adequacy' exhibit the highest correlation with BLEU scores, while 'Semantics' ranks highest among the ten manual evaluation indicators, when correlated with the aggregated human evaluation results, followed by 'Correction' (correct information) and 'Omission and/or Addition'. The findings contribute to the field of machine translation evaluation by illuminating the complex relationship between manual and automatic evaluation techniques and guiding future improvements in machine translation systems and evaluation methodologies.

原文English
主出版物標題2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence, CCAI 2023
發行者Institute of Electrical and Electronics Engineers Inc.
頁面425-430
頁數6
ISBN(電子)9798350335262
DOIs
出版狀態Published - 2023
事件3rd IEEE International Conference on Computer Communication and Artificial Intelligence, CCAI 2023 - Taiyuan, China
持續時間: 26 5月 202328 5月 2023

出版系列

名字2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence, CCAI 2023

Conference

Conference3rd IEEE International Conference on Computer Communication and Artificial Intelligence, CCAI 2023
國家/地區China
城市Taiyuan
期間26/05/2328/05/23

指紋

深入研究「Examining Manual and Automatic MT Evaluation: A Grey Relational Analysis for Chinese-Portuguese Translation Quality」主題。共同形成了獨特的指紋。

引用此