Generating a multilingual taxonomy based on multilingual terminology clustering

Generating a multilingual taxonomy based on multilingual terminology clustering
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基于多语言术语聚类生成多语言分类法

DOI:
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发表时间:
2011-08
期刊:
Chinese Journal of Library and Information Science
影响因子:
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通讯作者:
Chengzhi Zhang
Chengzhi Zhang
中科院分区:
其他
文献类型:
--
作者:
Chengzhi Zhang

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分类学是知识组织系统的层次结构。它在知识导航、语义标注和语义搜索等方面有着重要的应用。多语言分类法是研究在动态的信息环境中处理和发现大量信息的多语言分类法的有效工具,是多语言叙词表或本体的核心组成部分。本文提出了两种双语生成分类法:跨语言术语聚类和基于混合语言的术语聚类。根据我们对四个特定主题领域术语聚类的实验结果,我们发现,如果使用平行语料库对多语言术语进行聚类,使用基于混合语言的术语聚类方法优于使用跨语言术语聚类方法。
Taxonomy denotes the hierarchical structure of a knowledge organization system. It has important applications in knowledge navigation, semantic annotation and semantic search. It is a useful instrument to study the multilingual taxonomy generated automatically under the dynamic information environment in which massive amounts of information are processed and found. Multilingual taxonomy is the core component of the multilingual thesaurus or ontology. This paper presents two methods of bilingual generated taxonomy: Cross-language terminology clustering and mixed-language based terminology clustering. According to our experimental results of terminology clustering related to four specific subject domains, we found that if the parallel corpus is used to cluster multilingual terminologies, the method of using mixed-language based terminology clustering outperforms that of using the cross-language terminology clustering.
DOI: 10.1109/wi-iat.2009.280
发表时间: 2009-09
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影响因子: --
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