Authorship Identification in English Translations of Chinese Classics
Qi Ruihua1, Huo Yuehong2, Guo Xu1, Liu Caihong1
1. Computer Education Department, Dalian University of Foreign Languages, Dalian 116044, China;
2. School of English Studies, Dalian University of Foreign Languages, Dalian 116044, China
[Objective] This paper analyzes the key issues of the authorship indentification in English translations of Chinese classics and proposes the effective way to identify the authorship of incomplete data. [Methods] Based on the stylistic features composed of vocabulary level, sentence level and discourse level, the stylistic feature vector space model for poetry translation texts is established. From the angle of the characteristics of imbalance poetry corpus, the Weighted Naïve Credal Classifier is proposed. [Results] The output of the contrast experiments verifies the effectiveness of the Weighted Naïve Credal Classifier. [Limitations] The size of the data set and the number of the authors should be further expanded, so that the efficiency and the accuracy of authorship identification on large data sets can be improved. [Conclusions] The method proposed in this paper has good accuracy and applicability on poetry translation collections.
祁瑞华, 霍跃红, 郭旭, 刘彩虹. 典籍英译作者身份识别研究[J]. 现代图书情报技术, 2015, 31(1): 31-37.
Qi Ruihua, Huo Yuehong, Guo Xu, Liu Caihong. Authorship Identification in English Translations of Chinese Classics. New Technology of Library and Information Service, 2015, 31(1): 31-37.
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