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On a Distribution Law for Word Frequencies
Abstract
In the past, several attempts were made to represent word frequency counts by statistical distribution laws. Of the models suggested, none was singularly successful when applied to a variety of data over the entire length of the observed word distributions. In this article, a new family of compound Poisson distributions [9, 10] is proposed as a model for word frequency counts. Twenty observed distributions quoted in the literature were fitted and the results look most encouraging.
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Citations
Cited by
A general theory of bibliometric and other cumulative advantage processes
Price, D. D. S. (1976) · Journal of the American Society for Information Science · doi:10.1002/asi.4630270505 · Cited by 2,035
Zipf’s word frequency law in natural language: A critical review and future directions
Piantadosi, S. T. (2014) · Psychonomic Bulletin & Review · doi:10.3758/s13423-014-0585-6 · Cited by 889
The Science of Guessing: Analyzing an Anonymized Corpus of 70 Million Passwords
Bonneau, J. (2012) · 2012 IEEE Symposium on Security and Privacy · doi:10.1109/sp.2012.49 · Cited by 687
Computational methods in authorship attribution
Koppel, M., Schler, J., & Argamon, S. (2009) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20961 · Cited by 528
Quantitative aspects of morphological productivity
Baayen, H. (1992) · Yearbook of Morphology · doi:10.1007/978-94-011-2516-1_8 · Cited by 498
Metadata
- Authors
- Sichel, H. S.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1975-09
- Volume
- 70
- Issue
- 351a
- Pages
- 542-547
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2014143342
- Cited by
- 237
- References
- 0
- FWCI
- 2.95
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sichel, H. S. (1975). On a Distribution Law for Word Frequencies. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1975.10482469
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
