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• W3106470554 abstract "In his pioneering research, G. K. Zipf observed that more frequent words tend to have more meanings, and showed that the number of meanings of a word grows as the square root of its frequency. He derived this relationship from two assumptions: that words follow Zipf's law for word frequencies (a power law dependency between frequency and rank) and Zipf's law of meaning distribution (a power law dependency between number of meanings and rank). Here we show that a single assumption on the joint probability of a word and a meaning suffices to infer Zipf's meaning-frequency law or relaxed versions. Interestingly, this assumption can be justified as the outcome of a biased random walk in the process of mental exploration." @default.
• W3106470554 created "2020-11-23" @default.
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• W3106470554 date "2018-07-30" @default.
• W3106470554 modified "2023-10-15" @default.
• W3106470554 title "The origins of Zipf's meaning-frequency law" @default.
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• W3106470554 doi "https://doi.org/10.1002/asi.24057" @default.
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