Name: Information Theory Meets Power Laws: Stochastic Processes and Language Models (en Inglés)
Price: 2389.39 MXN
Availability: InStock
Author: Lukasz Debowski
ISBN: 9781119625278

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portada Information Theory Meets Power Laws: Stochastic Processes and Language Models (en Inglés)

Formato

Libro Físico

Editorial

Wiley

Autor

Lukasz Debowski

Año

2020

Idioma

Inglés

N° páginas

416

Encuadernación

Tapa Dura

ISBN13

9781119625278

N° edición

Categorías

Lingüísticas

Information Theory Meets Power Laws: Stochastic Processes and Language Models (en Inglés)

Lukasz Debowski (Autor) · Wiley · Tapa Dura

Libro Físico

$ 2,389.39

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Information Theory Meets Power Laws: Stochastic Processes and Language Models (en Inglés)"

This book introduces mathematical foundations of statistical modeling of natural language. The author attempts to explain a few statistical power laws satisfied by texts in natural language in terms of non-Markovian and non-hidden Markovian discrete stochastic processes with some sort of long-range dependence. To achieve this, he uses various concepts and technical tools from information theory and probability measures. This book begins with an introduction. The first half of the book is an introduction to probability measures, information theory, ergodic decomposition, and Kolmogorov complexity, which is provided to make the book relatively self-contained. This section also covers less standard concepts and results, such as excess entropy and generalization of conditional mutual information to -fields. The second part of the book discusses the results concerning power laws for mutual information and maximal repetition, such as theorems about facts and words. There is also a separate chapter discussing toy examples of stochastic processes, which should inspire future work in statistical language modeling.