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现代图书情报技术  2015, Vol. 31 Issue (1): 31-37    DOI: 10.11925/infotech.1003-3513.2015.01.05
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
典籍英译作者身份识别研究
祁瑞华1, 霍跃红2, 郭旭1, 刘彩虹1
1. 大连外国语大学计算机教研部 大连 116044;
2. 大连外国语大学英语学院 大连 116044
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
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摘要 

[目的] 分析典籍英译作者身份识别的关键问题, 提出不完整数据作者身份识别的有效方法。[方法] 针对诗词典籍篇幅短小和语料不平衡的特点, 建立基于词汇、句子和语篇层面的文体特征向量空间模型, 提出用于不完整数据作者身份识别的加权朴素信念分类算法。[结果] 加权朴素信念分类算法可以有效改善朴素信念分类算法性能, 与目前主流分类算法对比实验表明其在不完整数据集上具有很好的综合性能。[局限] 需进一步扩展数据集的样本数量和作者数量, 在大数据集上提高文体特征提取效率和作者身份识别的准确性。[结论] 提出的多层面文体特征模型和加权朴素信念分类算法在诗词典籍英译作品集上具有较好的准确性和应用性。

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霍跃红
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刘彩虹
祁瑞华
关键词 典籍英译作者身份不完整数据    
Abstract

[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.

Key wordsEnglish translation of Chinese classics    Authorship identification    Incomplete data
收稿日期: 2014-05-15     
:  TP393  
基金资助:

本文系教育部人文社会科学研究规划青年基金项目"基于多层面特征分析的在线信息作者身份识别研究"(项目编号:11YJCZH131)、辽宁省高等学校优秀人才支持计划项目(项目编号:WJQ2013017)和大连外国语大学校级科研一般项目"基于语言学特征的网络舆情信息挖掘"的研究成果之一。

通讯作者: 祁瑞华,ORCID:0000-0002-2583-3055,E-mail:rhqi@dlufl.edu.cn。     E-mail: rhqi@dlufl.edu.cn
作者简介: 作者贡献声明: 祁瑞华: 提出研究思路, 设计研究方案, 论文起草和最终版本修订; 霍跃红: 设计研究方案, 调查、采集和分析数据; 郭旭: 数据清洗和分析; 刘彩虹: 论文最终版本修订。
引用本文:   
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, DOI:10.11925/infotech.1003-3513.2015.01.05.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2015.01.05

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[1] 郭旭,祁瑞华. 作者身份识别中不规范文本特征选择方法的研究*[J]. 现代图书情报技术, 2016, 32(11): 27-33.
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