Constructing the Evaluation Index System of Chinese-Portuguese Machine Translation using the Delphi and Analytic Hierarchy Process Methods

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

Quality assessment is an important part of ensuring the quality and long-term development of machine translation. There is still much room for research into the evaluation of machine translation from Chinese to Portuguese, and no specific evaluation metrics have yet been developed. This study uses the Delphi method and Analytic Hierarchy Process (AHP) to construct an index system of Chinese-Portuguese Machine Translation and analyzes the relative index weight. The system includes four first-level indicators and nine second-level indicators. The weight of primary indicators, from high to low, is "Accuracy, fidelity"(52.5%), "Readability"(22.9%), "Fluency"(16.8%), and "Acceptability & Usability"(7.8%). The secondary indicators with the highest weight of each primary indicator are "Correction", "Lexicon", "Readability", and "Utility". AHP was used to transform the qualitative problems in evaluating Chinese-Portuguese Machine Translation into the quantitative problem in order to provide a theoretical basis and practical guidance for the future manual evaluation of Chinese-Portuguese Machine Translation, and for the eventual modification of automatic machine translation evaluation methods.

原文English
主出版物標題2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications, ICPECA 2023
發行者Institute of Electrical and Electronics Engineers Inc.
頁面190-195
頁數6
ISBN(電子)9781665472784
DOIs
出版狀態Published - 2023
事件3rd IEEE International Conference on Power, Electronics and Computer Applications, ICPECA 2023 - Shenyang, China
持續時間: 29 1月 202331 1月 2023

出版系列

名字2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications, ICPECA 2023

Conference

Conference3rd IEEE International Conference on Power, Electronics and Computer Applications, ICPECA 2023
國家/地區China
城市Shenyang
期間29/01/2331/01/23

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