Metaphor, Popular Science, and Semantic Tagging: Distant reading with the Historical Thesaurus of English

Metaphor, Popular Science, and Semantic Tagging: Distant reading with the Historical Thesaurus of English
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隐喻、科普和语义标签:利用英语历史词库进行远读

DOI:
10.1093/llc/fqv045
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发表时间:
2015
影响因子:
0.8
通讯作者:
Alexander M
Alexander M
中科院分区:
人文科学4区
文献类型:
--
作者:
Alexander M

文献摘要

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在科普中广泛使用隐喻来帮助读者理解所讨论的科学概念。这一领域的几乎所有研究都是通过仔细阅读相关文本来完成的,但这篇文章首次描述了一种大众科学的数字“远读”分析,使用的是由格拉斯哥和兰开斯特的一个团队创建的系统。这个团队,作为SAMUELS项目的一部分,开发了语义标记软件,该软件基于兰开斯特大学计算机语料库研究大学中心开发的UCREL语义分析系统,但使用独特全面的英语历史同义词典(2009年作为牛津英语词典的历史同义词典出版)作为知识库,以便为词义消歧提供细粒度的意义区分。除了分析高度抽象的书本长度的物理和数学科普文本中的隐喻外,本文还描述了该系统的技术基础以及用于磨合词义消歧过程的方法。
The use of metaphor in popular science is widespread to aid readers’ conceptions of the scientific concepts under discussion. Almost all research in this area has been done by careful close reading of the text(s) in question, but this article describes—for the first time—a digital ‘distant reading’ analysis of popular science, using a system created by a team from Glasgow and Lancaster. This team, as part of the SAMUELS project, has developed semantic tagging software which is based upon the UCREL Semantic Analysis System developed by Lancaster University’s University Centre for Computer Corpus Research on Language, but using the uniquely comprehensiveHistorical Thesaurus of English(published in 2009 asThe Historical Thesaurus of the Oxford English Dictionary) as its knowledge base, in order to provide fine-grained meaning distinctions for use in word-sense disambiguation. In addition to analyzing metaphors in highly abstract book-length popular science texts from physics and mathematics, this article describes the technical underpinning to the system and the methods employed to hone the word-sense disambiguation procedure.