Editing Googlewhack (section)

==Research applications==
The probabilities of internet search result values for multi-word queries was studied in 2008 with the help of Googlewhacks.<ref>{{cite journal |title=Internet Search Result Probabilities, Heaps' Law and Word Associativity |author=Lansey JC, Bukiet B |journal=Journal of Quantitative Linguistics |date=January 2009 |volume=16 |number=1 |pages=40–66 |url=http://www.jonathan.lansey.net/publications/googlewhack.html |doi=10.1080/09296170802514153|s2cid=1808897 |url-access=subscription }}</ref><ref>{{YouTube|R0Z-PybQ8Gw|Googlewhacks for Fun and Profit}} Google Tech Talk 2008</ref><ref>{{cite web|url=http://www.jonathan.lansey.net/publications/Googlewhack_Poster.pdf|title=Poster Presentation|access-date=2014-03-28|archive-date=23 July 2011|archive-url=https://web.archive.org/web/20110723175938/http://www.jonathan.lansey.net/publications/Googlewhack_Poster.pdf|url-status=live}}</ref> Based on data from 351 Googlewhacks from the "WhackStack" a list of previously documented Googlewhacks,<ref>{{Cite web|date=Feb 13, 2010|title=The Whack Stack|url=http://www.googlewhack.com/tally.pl|url-status=dead|archive-url=https://web.archive.org/web/20130121224941/http://www.googlewhack.com/tally.pl|archive-date=Jan 21, 2013|access-date=Dec 17, 2021|website=Googlewhack}}</ref> the [[Heaps' law]] <math>\beta</math> coefficient for the indexed [[World Wide Web]] (about 8 billion pages in 2008) was measured to be <math>\beta=0.52</math>. This result is in line with previous studies which used under 20,000 pages.<ref>Ricardo Baeza-Yates and Berthier Ribeiro-Neto, Modern Information Retrieval, ACM Press, 1999.</ref> The googlewhacks were a key in calibrating the model so that it could be extended automatically to analyse the relatedness of word pairs.