Word Familiarity and Frequency
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Abstract (arXiv)
Word frequency is assumed to correlate with word familiarity, but the strength of this correlation has not been thoroughly investigated. In this paper, we report on our analysis of the correlation between a word familiarity rating list obtained through a psycholinguistic experiment and the log-frequency obtained from various corpora of different kinds and sizes (up to the terabyte scale) for English and Japanese. Major findings are threefold: First, for a given corpus, familiarity is necessary for a word to achieve high frequency, but familiar words are not necessarily frequent. Second, correlation increases with the corpus data size. Third, a corpus of spoken language correlates better than one of written language. These findings suggest that cognitive familiarity ratings are correlated to frequency, but more highly to that of spoken rather than written language.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Jun 2018.
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Citing papers per year: 2023: 3; 2024: 1; 2025: 1; 2026: 1.
6 papers.
- 2023Personalized Jargon Identification for Enhanced Interdisciplinary Communicationcited by 11
- 2024Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary?cited by 5
- 2023A modified model for topic detection from a corpus and a new metric evaluating the understandability of topicscited by 0
- 2023The Impact of Familiarity on Naming Variation: A Study on Object Naming in Mandarin Chinesecited by 0
- 2025Explain Less, Understand More: Data-Efficient Personalization of Reader-Dependent Jargonscited by 0
- 2026Corpus Prevalence of Multiple-Choice Question Optionscited by 0
- 2026Corpus Prevalence of Multiple-Choice Question Options19 Feb 2026
- 2025Explain Less, Understand More: Data-Efficient Personalization of Reader-Dependent Jargons22 May 2025
- 2024Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary?4 Oct 2024
- 2023The Impact of Familiarity on Naming Variation: A Study on Object Naming in Mandarin Chinese16 Nov 2023
- 2023Personalized Jargon Identification for Enhanced Interdisciplinary Communication16 Nov 2023
- 2023A modified model for topic detection from a corpus and a new metric evaluating the understandability of topics8 Jun 2023