Numerical Assessment of Orthographic Neighbourhood Size Fluctuation in Writing Using Fractal Dimension Analysis

IF 0.7 2区 文学 0 LANGUAGE & LINGUISTICS Journal of Quantitative Linguistics Pub Date : 2019-11-25 DOI:10.1080/09296174.2019.1694360
R. Taibu, E. Cheung, Weier Ye, S. Dehipawala, V. Shekoyan, G. Tremberger, T. Cheung
{"title":"Numerical Assessment of Orthographic Neighbourhood Size Fluctuation in Writing Using Fractal Dimension Analysis","authors":"R. Taibu, E. Cheung, Weier Ye, S. Dehipawala, V. Shekoyan, G. Tremberger, T. Cheung","doi":"10.1080/09296174.2019.1694360","DOIUrl":null,"url":null,"abstract":"ABSTRACT The orthographic size of a targeted word, the number of new words that can be generated from a targeted word by exchanging a single letter, offers a research window where words can be transformed into numerical values. The CLEARPOND technology from Northwestern University was used for the transformation. A writing can then be modelled as a time series where the fluctuation can be further described using fractal dimension analysis. This project used the Higuchi fractal method for the computation of the fractal dimensions of time series. The proof of concept was conducted using writing examples which include Astronomy writing and English writing, the responses of Trump and Clinton in a Presidential election debate, and song lyrics. The results suggested that a high fractal dimension has an association with a high-demand cognitive task. The use of fractal dimension analysis as a writing assessment tool is discussed with relationship to the current lexical diversity computation technology.","PeriodicalId":45514,"journal":{"name":"Journal of Quantitative Linguistics","volume":"28 1","pages":"237 - 252"},"PeriodicalIF":0.7000,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09296174.2019.1694360","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Quantitative Linguistics","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1080/09296174.2019.1694360","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
引用次数: 1

Abstract

ABSTRACT The orthographic size of a targeted word, the number of new words that can be generated from a targeted word by exchanging a single letter, offers a research window where words can be transformed into numerical values. The CLEARPOND technology from Northwestern University was used for the transformation. A writing can then be modelled as a time series where the fluctuation can be further described using fractal dimension analysis. This project used the Higuchi fractal method for the computation of the fractal dimensions of time series. The proof of concept was conducted using writing examples which include Astronomy writing and English writing, the responses of Trump and Clinton in a Presidential election debate, and song lyrics. The results suggested that a high fractal dimension has an association with a high-demand cognitive task. The use of fractal dimension analysis as a writing assessment tool is discussed with relationship to the current lexical diversity computation technology.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
应用分形分析对书写中正交邻域大小波动的数值评估
摘要目标词的正字法大小,即通过交换单个字母可以从目标词中生成的新词数量,为将单词转换为数值提供了一个研究窗口。改造采用了西北大学CLEARPOND技术。然后可以将书写建模为时间序列,其中可以使用分形维数分析来进一步描述波动。该项目使用Higuchi分形方法计算时间序列的分形维数。概念验证使用了写作示例,包括天文学写作和英语写作、特朗普和克林顿在总统选举辩论中的回应以及歌词。结果表明,高分形维数与高需求的认知任务有关。结合当前的词汇多样性计算技术,讨论了分形维数分析作为写作评估工具的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.90
自引率
7.10%
发文量
7
期刊介绍: The Journal of Quantitative Linguistics is an international forum for the publication and discussion of research on the quantitative characteristics of language and text in an exact mathematical form. This approach, which is of growing interest, opens up important and exciting theoretical perspectives, as well as solutions for a wide range of practical problems such as machine learning or statistical parsing, by introducing into linguistics the methods and models of advanced scientific disciplines such as the natural sciences, economics, and psychology.
期刊最新文献
Exploring Colligation Diversity and Grammaticalization in Chinese: An Entropy-Based Approach An Information-Theoretic Approach to Morphosyntactic Complexity in English, Dutch and German Quantifying Syntactic Complexity in Czech Texts: An Analysis of Mean Dependency Distance and Average Sentence Length Across Genres The Menzerath-Altmann Law from a Physical Perspective: The Case of Written Chinese Characters On an Interaction Model of General Language Change
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1