Word Frequency Distributions
By R. Harald Baayen. 2001
453 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Computational Theory and Mathematics, Cultural Studies
View Paper: https://www.semanticscholar.org/paper/1474d8a77f411db130249a046e2f06aafb0dbae4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Petar Milin
- Michael Ramscar
- Joseph Bonneau
- Akiko Aizawa
- Cyrus Shaoul
- H. Baayen
- Scott Jarvis
- Peter Hendrix
In Computational Theory and Mathematics
- Joseph Bonneau
- Akiko Aizawa
- Michael Ramscar
- Cyrus Shaoul
- H. Baayen
- Petar Milin
- Scott Jarvis
- Peter Hendrix
In Cultural Studies
- Joseph Bonneau
- Akiko Aizawa
- Michael Ramscar
- Cyrus Shaoul
- H. Baayen
- Petar Milin
- Scott Jarvis
- Peter Hendrix
Citations in the corpus
- Zipf’s word frequency law in natural language: A critical review and future directions (2014, background): “This review intentionally steers clear from other statistical facts about text (e.g., Heap ’ s law, etc.) because these are thoroughly reviewed in other work (see Baayen, 2001; Popescu, 2009).”
- The Myth of Cognitive Decline: Non-Linear Dynamics of Lifelong Learning (2014, methodology): “This makes the reliable estimation of vocabulary sizes from small samples mathematically impossible (Baayen, 2001).”
- Capturing the Diversity in Lexical Diversity. (2013, methodology): “The studies that have proposed solutions to the sample-size problem are too numerous to list, but it is important to recognize that there have been a number of researchers who have worked intensively on this problem, including in chronological order Guiraud (1954), Herdan (1964), Carroll (1967), Sic”
- An information-theoretic perspective of tf-idf measures (2003, background): “On the other hand, the two values may differ greatly for a data set composed of heterogeneous documents, when a more specific probability estimation method (for example, refer to Baayen, 2001) is required.”
- The New C Standard (Excerpted material) An Economic and Cultural Commentary (2008, unknown): “See Baayen[12] for a discussion of the statistical issues and techniques for handling these kind of distributions.”
- Guessing human-chosen secrets (2012, background): “Power-law distributions are also called Pareto or Zipfian distributions, which can all be shown to be equivalent formulations [23].”