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Information Theory Meets Power Laws
book

Information Theory Meets Power Laws

by Lukasz Debowski
December 2020
Intermediate to advanced
384 pages
11h 54m
English
Wiley
Content preview from Information Theory Meets Power Laws

3Probabilistic Toolbox

In this chapter, we will review some important technical results in probability theory, which concern mostly real random variables and related mathematical concepts. Formal linguists may rightly ask what the utility of real numbers is in language research. Indeed, the language structure is largely about discrete symbols and hierarchical categorical distinctions (Adger, 2019). Yet rational and computable real numbers arise naturally when we count the frequencies of those symbols and categories or compute other kinds of statistics for linguistic data, such as fractions, means, or variances. One can debate whether it is more difficult to see some patterns in large tables of numbers than in collections of categorical data, but we cannot deny that for quantitative and computational linguists fractional numbers in language matter as well.

Moreover, we should be aware that it is mathematically possible to encode an infinite sequence of binary digits images as a single real number images. Except for countably many cases such as binary numbers images, this mapping between binary sequences and real numbers is one‐to‐one. In particular, the text of any novel or even a collection of large ...

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Publisher Resources

ISBN: 9781119625278Purchase Link