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Journal of Quantitative Linguistics Volume 16, 2009 - Issue 1
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Original Articles

Internet Search Result Probabilities: Heaps' Law and Word Associativity*

Jonathan C. Lansey Department of Mathematical Sciences, New Jersey Institute of Technology, USA; Cognitive and Neural Systems Department, Boston University, USACorrespondence[email protected]
&
Bruce Bukiet Department of Mathematical Sciences, New Jersey Institute of Technology, USA
Pages 40-66 | Published online: 25 Feb 2009

Citations (7)

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Yifei Zhang, Shi Shan, Chunning Yan, Junping Qiu & Li Xiong. (2016) Herdan-Heaps Law Corresponds to Lotka’s Law: A Dynamic Perspective from Simon’s Model. Journal of Quantitative Linguistics 23:2, pages 211-227.
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Articles from other publishers (6)

Bogdan Vasile Ileanu, Marcel Ausloos, Claudiu Herteliu & Marian Pompiliu Cristescu. (2018) Intriguing behavior when testing the impact of quotation marks usage in Google search results. Quality & Quantity 53:5, pages 2507-2519.
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Iván G. Torre, Bartolo Luque, Lucas Lacasa, Christopher T. Kello & Antoni Hernández-Fernández. (2019) On the physical origin of linguistic laws and lognormality in speech. Royal Society Open Science 6:8, pages 191023.
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Chunhua Bian, Ruokuang Lin, Xiaoyu Zhang, Qianli D. Y. Ma & Plamen Ch. Ivanov. (2016) Scaling laws and model of words organization in spoken and written language. EPL (Europhysics Letters) 113:1, pages 18002.
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Linyuan Lü, Zi-Ke Zhang & Tao Zhou. (2013) Deviation of Zipf's and Heaps' Laws in Human Languages with Limited Dictionary Sizes. Scientific Reports 3:1.
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Maurice S. Lee. (2011) Evidence, Coincidence, and Superabundant Information. Victorian Studies 54:1, pages 87-94.
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Pablo E. Román, Robert F. Dell & Juan D. Velásquez. 2010. Advanced Techniques in Web Intelligence - I. Advanced Techniques in Web Intelligence - I 19 48 .

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