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Just Google It: An Approach on Word Frequencies Based on Online Search Result
Stockholm University, Faculty of Humanities, Department of Culture and Aesthetics.ORCID iD: 0000-0001-9309-2343
2018 (English)In: The Journal of general psychology, ISSN 0022-1309, E-ISSN 1940-0888, Vol. 145, no 2, p. 170-182Article in journal (Refereed) Published
Abstract [en]

Word frequency is one of the most robust factors in the literature on word processing, based on the lexical corpus of a language. However, different sources might be used in order to determine the actual frequency of each word. Recent research has determined frequencies based on movie subtitles, Twitter, blog posts, or newspapers. In this paper, we examine a determination of these frequencies based on the World Wide Web. For this purpose, a Python script was developed to obtain frequencies of a word through online search results. These frequencies were employed to estimate lexical decision times in comparison to the traditional frequencies in a lexical decision task. It was found that the Google frequencies predict reaction times comparably to the traditional frequencies. Still, the explained variance was higher for the traditional database.

Place, publisher, year, edition, pages
2018. Vol. 145, no 2, p. 170-182
Keywords [en]
Googling, reaction times, word frequency, word recognition
National Category
Languages and Literature
Research subject
Linguistics
Identifiers
URN: urn:nbn:se:su:diva-156513DOI: 10.1080/00221309.2018.1459451ISI: 000432561500005OAI: oai:DiVA.org:su-156513DiVA, id: diva2:1209249
Available from: 2018-05-22 Created: 2018-05-22 Last updated: 2018-06-25Bibliographically approved

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Kuzmičová, Anežka
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