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Information theory meets power laws : stochastic processes and language models /
"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-...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, NJ :
John Wiley & Sons, Inc.,
2021.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 037 | |a 9781119625377 |b Wiley | ||
| 037 | |a 9781119625278 |b O'Reilly Media | ||
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| 050 | 0 | 4 | |a P98 |b .D35 2021 |
| 082 | 0 | 0 | |a 410.1/5195 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Dębowski, Łukasz Jerzy, |d 1975- |e author. | |
| 245 | 1 | 0 | |a Information theory meets power laws : |b stochastic processes and language models / |c Łukasz Dębowski, Polish Academy of Sciences. |
| 264 | 1 | |a Hoboken, NJ : |b John Wiley & Sons, Inc., |c 2021. | |
| 264 | 4 | |c ©2021 | |
| 300 | |a 1 online resource (xvi, 368 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b n |2 rdamedia | ||
| 338 | |a online resource |b nc |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a "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"-- |c Provided by publisher. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on January 27, 2021). | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Computational linguistics. | |
| 650 | 0 | |a Stochastic processes. | |
| 650 | 2 | |a Stochastic Processes | |
| 650 | 6 | |a Linguistique informatique. | |
| 650 | 6 | |a Processus stochastiques. | |
| 650 | 7 | |a computational linguistics. |2 aat | |
| 650 | 7 | |a Computational linguistics. |2 fast |0 (OCoLC)fst00871998 | |
| 650 | 7 | |a Stochastic processes. |2 fast |0 (OCoLC)fst01133519 | |
| 776 | 0 | 8 | |i Print version: |a Dębowski, Łukasz Jerzy, 1975- |t Information theory meets power laws |d Hoboken : Wiley, 2020. |z 9781119625278 |w (DLC) 2020015366 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781119625278/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a YBP Library Services |b YANK |n 301729723 | ||
| 938 | |a EBSCOhost |b EBSC |n 2667523 | ||
| 994 | |a 92 |b IZTAP | ||