Modelling Natural Language with Claude Shannon's Notion of Surprisal:
Have you ever wondered how the principles behind Shannon's groundbreaking Information Theory can be interwoven with the intricate fabric of linguistic communication? This book takes you on a fascinating journey, offering insights into how humans process and comprehend language. By applying Info...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Boston
De Gruyter Mouton
[2024]
|
| Schriftenreihe: | Quantitative Linguistics [QL]
76 |
| Schlagworte: | |
| Online-Zugang: | DE-1043 DE-1046 DE-858 DE-859 DE-860 DE-473 DE-739 URL des Erstveröffentlichers |
| Zusammenfassung: | Have you ever wondered how the principles behind Shannon's groundbreaking Information Theory can be interwoven with the intricate fabric of linguistic communication? This book takes you on a fascinating journey, offering insights into how humans process and comprehend language. By applying Information Theory to the realm of natural language semantics, it unravels the connection between regularities in linguistic messages and the cognitive intricacies of language processing. Highlighting the intersections of information theory with linguistics, philosophy, cognitive psychology, and computer science, this book serves as an inspiration for anyone seeking to understand the predictive capabilities of Information Theory in modeling human communication. It elaborates on the seminal works from giants in the field like Dretske, Hale, and Zipf, exploring concepts like surprisal theory and the principle of least effort. With its empirical approach, this book not only discusses the theoretical aspects but also ventures into the application of Shannon's Information Theory in real-world language scenarios, strengthened by advanced statistical methods and machine learning. It touches upon challenging areas such as the distinction between mathematical and semantic information, the concept of information in linguistic utterances, and the intricate play between truth, context, and meaning. Whether you are a linguist, a cognitive psychologist, a philosopher, or simply an enthusiast eager to dive deep into the world where language meets information, this book promises a thought-provoking journey |
| Beschreibung: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 06. Mrz 2024) |
| Beschreibung: | 1 Online-Ressource (XIII, 175 Seiten) |
| ISBN: | 9783110788143 |
| DOI: | 10.1515/9783110788143 |
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| 520 | |a Have you ever wondered how the principles behind Shannon's groundbreaking Information Theory can be interwoven with the intricate fabric of linguistic communication? This book takes you on a fascinating journey, offering insights into how humans process and comprehend language. By applying Information Theory to the realm of natural language semantics, it unravels the connection between regularities in linguistic messages and the cognitive intricacies of language processing. Highlighting the intersections of information theory with linguistics, philosophy, cognitive psychology, and computer science, this book serves as an inspiration for anyone seeking to understand the predictive capabilities of Information Theory in modeling human communication. It elaborates on the seminal works from giants in the field like Dretske, Hale, and Zipf, exploring concepts like surprisal theory and the principle of least effort. With its empirical approach, this book not only discusses the theoretical aspects but also ventures into the application of Shannon's Information Theory in real-world language scenarios, strengthened by advanced statistical methods and machine learning. It touches upon challenging areas such as the distinction between mathematical and semantic information, the concept of information in linguistic utterances, and the intricate play between truth, context, and meaning. Whether you are a linguist, a cognitive psychologist, a philosopher, or simply an enthusiast eager to dive deep into the world where language meets information, this book promises a thought-provoking journey | ||
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Datensatz im Suchindex
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T23:38:00Z |
| indexdate | 2025-02-19T17:37:33Z |
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| isbn | 9783110788143 |
| language | English |
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| spelling | Richter, Michael Verfasser aut Modelling Natural Language with Claude Shannon's Notion of Surprisal Michael Richter Berlin ; Boston De Gruyter Mouton [2024] © 2024 1 Online-Ressource (XIII, 175 Seiten) txt rdacontent c rdamedia cr rdacarrier Quantitative Linguistics [QL] 76 Description based on online resource; title from PDF title page (publisher's Web site, viewed 06. Mrz 2024) Have you ever wondered how the principles behind Shannon's groundbreaking Information Theory can be interwoven with the intricate fabric of linguistic communication? This book takes you on a fascinating journey, offering insights into how humans process and comprehend language. By applying Information Theory to the realm of natural language semantics, it unravels the connection between regularities in linguistic messages and the cognitive intricacies of language processing. Highlighting the intersections of information theory with linguistics, philosophy, cognitive psychology, and computer science, this book serves as an inspiration for anyone seeking to understand the predictive capabilities of Information Theory in modeling human communication. It elaborates on the seminal works from giants in the field like Dretske, Hale, and Zipf, exploring concepts like surprisal theory and the principle of least effort. With its empirical approach, this book not only discusses the theoretical aspects but also ventures into the application of Shannon's Information Theory in real-world language scenarios, strengthened by advanced statistical methods and machine learning. It touches upon challenging areas such as the distinction between mathematical and semantic information, the concept of information in linguistic utterances, and the intricate play between truth, context, and meaning. Whether you are a linguist, a cognitive psychologist, a philosopher, or simply an enthusiast eager to dive deep into the world where language meets information, this book promises a thought-provoking journey In English Informationstheorie Natürliche Sprache Semantik LANGUAGE ARTS & DISCIPLINES / Linguistics / Semantics bisacsh Informationstheorie (DE-588)4026927-9 gnd rswk-swf Natürliche Sprache (DE-588)4041354-8 gnd rswk-swf Semantik (DE-588)4054490-4 gnd rswk-swf Computerlinguistik (DE-588)4035843-4 gnd rswk-swf Computerlinguistik (DE-588)4035843-4 s Informationstheorie (DE-588)4026927-9 s Semantik (DE-588)4054490-4 s Natürliche Sprache (DE-588)4041354-8 s DE-604 Erscheint auch als Druck-Ausgabe 9783110787962 https://doi.org/10.1515/9783110788143 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Richter, Michael Modelling Natural Language with Claude Shannon's Notion of Surprisal Informationstheorie Natürliche Sprache Semantik LANGUAGE ARTS & DISCIPLINES / Linguistics / Semantics bisacsh Informationstheorie (DE-588)4026927-9 gnd Natürliche Sprache (DE-588)4041354-8 gnd Semantik (DE-588)4054490-4 gnd Computerlinguistik (DE-588)4035843-4 gnd |
| subject_GND | (DE-588)4026927-9 (DE-588)4041354-8 (DE-588)4054490-4 (DE-588)4035843-4 |
| title | Modelling Natural Language with Claude Shannon's Notion of Surprisal |
| title_auth | Modelling Natural Language with Claude Shannon's Notion of Surprisal |
| title_exact_search | Modelling Natural Language with Claude Shannon's Notion of Surprisal |
| title_exact_search_txtP | Modelling Natural Language with Claude Shannon's Notion of Surprisal |
| title_full | Modelling Natural Language with Claude Shannon's Notion of Surprisal Michael Richter |
| title_fullStr | Modelling Natural Language with Claude Shannon's Notion of Surprisal Michael Richter |
| title_full_unstemmed | Modelling Natural Language with Claude Shannon's Notion of Surprisal Michael Richter |
| title_short | Modelling Natural Language with Claude Shannon's Notion of Surprisal |
| title_sort | modelling natural language with claude shannon s notion of surprisal |
| topic | Informationstheorie Natürliche Sprache Semantik LANGUAGE ARTS & DISCIPLINES / Linguistics / Semantics bisacsh Informationstheorie (DE-588)4026927-9 gnd Natürliche Sprache (DE-588)4041354-8 gnd Semantik (DE-588)4054490-4 gnd Computerlinguistik (DE-588)4035843-4 gnd |
| topic_facet | Informationstheorie Natürliche Sprache Semantik LANGUAGE ARTS & DISCIPLINES / Linguistics / Semantics Computerlinguistik |
| url | https://doi.org/10.1515/9783110788143 |
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