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Zipf's Law
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Zipf''s law, an empirical law formulated using mathematical statistics, refers to the fact that many types of data studied in the physical and social sciences can be approximated with a Zipfian distribution, one of a family of related discrete power law probability distributions. The law is named after the linguist George Kingsley Zipf (pronounced / z f/) who first proposed it (Zipf 1935, 1949), though J.B. Estoup appears to have noticed the regularity before Zipf. Zipf''s law states that given some corpus of natural language utterances, the frequency of any word is inversely proportional to its rank in the frequency table. Thus the most frequent word will occur approximately twice as often as the second most frequent word, which occurs twice as often as the fourth most frequent word, etc. For example, in the Brown Corpus "the" is the most frequently occurring word, and by itself accounts for nearly 7% of all word occurrences (69,971 out of slightly over 1 million).
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786131217531
- Editor Lambert M. Surhone, Mariam T. Tennoe, Susan F. Henssonow
- Größe H6mm x B220mm x T150mm
- EAN 9786131217531
- Format Fachbuch
- Titel Zipf's Law
- Gewicht 168g
- Herausgeber Betascript Publishing
- Anzahl Seiten 100
- Genre Mathematik
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