Artificial Knowledge of Language: A Linguist's Perspective on Its Nature, Origins and Use - Softcover
Synopsis
The central question that this volume seeks to answer is: What are the similarities and differences between how human beings know language and how artificial intelligence knows language? The recent development and popularization of artificial intelligence systems called Large Language Models (such as ChatGPT) have led to a proliferation of opinions regarding the relevance of these systems beyond the practical purposes for which they were designed. It is not uncommon to find statements in social networks and popular magazines, as well as in academic publications, to the effect that these language models have solved the problems that sciences such as linguistics aim to solve, that their success in generating text can be seen as a refutation of some particularly influential theories of language, or that Language Models are actually scientific theories of language. These statements seem to be based on the premise that the linguistic knowledge acquired by these systems is comparable to that developed by humans. This book aims to evaluate whether this assumption is warranted. To this end, the opinions of renowned linguists and other cognitive scientists have been gathered to answer questions such as what kind of language knowledge these artificial systems have, to what extent they are faithful models of natural language knowledge, and what we can learn about the human language faculty by examining their inner workings. Anyone interested in the nature of human language and mind and in artificial intelligence can follow the eight chapters of the book without being an expert in linguistics or computer science. This is the first comprehensive work to present the views of experts in linguistic theory on the relevant questions mentioned above, and to provide an accessible presentation of current research on the nature of artificial knowledge of language.
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About the Author
José-Luis Mendívil-Giró (editor) is a full professor of General Linguistics at the University of Zaragoza and Principal Investigator of the 'Psylex (Language and Cognition)' group at the same University. His research has focused on the theory of grammar, the philosophy of linguistics, and the nature and extent of language change and diversity. He has published research articles on these subjects in journals such as 'Folia Linguistica, Journal of Linguistics, Linguistics, Frontiers in Communication, Glossa, Biolinguistics and Theoretical Linguistics'. He is the author of five books, including 'On Biology, History and Culture in Human Language. A Critical Survey' (2014, Equinox, with J.C. Moreno). In addition to academic publications, Mendívil-Giró writes short essays on the nature of language, of languages, and linguistics itself on the blog 'Philosophy of Linguistics' (hosted on Wordpress).
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Paperback. Condition: new. Paperback. The central question that this volume seeks to answer is: What are the similarities and differences between how human beings know language and how artificial intelligence knows language? The recent development and popularization of artificial intelligence systems called Large Language Models (such as ChatGPT) have led to a proliferation of opinions regarding the relevance of these systems beyond the practical purposes for which they were designed. It is not uncommon to find statements in social networks and popular magazines, as well as in academic publications, to the effect that these language models have solved the problems that sciences such as linguistics aim to solve, that their success in generating text can be seen as a refutation of some particularly influential theories of language, or that Language Models are actually scientific theories of language. These statements seem to be based on the premise that the linguistic knowledge acquired by these systems is comparable to that developed by humans. This book aims to evaluate whether this assumption is warranted. To this end, the opinions of renowned linguists and other cognitive scientists have been gathered to answer questions such as what kind of language knowledge these artificial systems have, to what extent they are faithful models of natural language knowledge, and what we can learn about the human language faculty by examining their inner workings. Anyone interested in the nature of human language and mind and in artificial intelligence can follow the eight chapters of the book without being an expert in linguistics or computer science. This is the first comprehensive work to present the views of experts in linguistic theory on the relevant questions mentioned above, and to provide an accessible presentation of current research on the nature of artificial knowledge of language. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798261600466
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Paperback. Condition: new. Paperback. The central question that this volume seeks to answer is: What are the similarities and differences between how human beings know language and how artificial intelligence knows language? The recent development and popularization of artificial intelligence systems called Large Language Models (such as ChatGPT) have led to a proliferation of opinions regarding the relevance of these systems beyond the practical purposes for which they were designed. It is not uncommon to find statements in social networks and popular magazines, as well as in academic publications, to the effect that these language models have solved the problems that sciences such as linguistics aim to solve, that their success in generating text can be seen as a refutation of some particularly influential theories of language, or that Language Models are actually scientific theories of language. These statements seem to be based on the premise that the linguistic knowledge acquired by these systems is comparable to that developed by humans. This book aims to evaluate whether this assumption is warranted. To this end, the opinions of renowned linguists and other cognitive scientists have been gathered to answer questions such as what kind of language knowledge these artificial systems have, to what extent they are faithful models of natural language knowledge, and what we can learn about the human language faculty by examining their inner workings. Anyone interested in the nature of human language and mind and in artificial intelligence can follow the eight chapters of the book without being an expert in linguistics or computer science. This is the first comprehensive work to present the views of experts in linguistic theory on the relevant questions mentioned above, and to provide an accessible presentation of current research on the nature of artificial knowledge of language. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798261600466
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Paperback. Condition: new. Paperback. The central question that this volume seeks to answer is: What are the similarities and differences between how human beings know language and how artificial intelligence knows language? The recent development and popularization of artificial intelligence systems called Large Language Models (such as ChatGPT) have led to a proliferation of opinions regarding the relevance of these systems beyond the practical purposes for which they were designed. It is not uncommon to find statements in social networks and popular magazines, as well as in academic publications, to the effect that these language models have solved the problems that sciences such as linguistics aim to solve, that their success in generating text can be seen as a refutation of some particularly influential theories of language, or that Language Models are actually scientific theories of language. These statements seem to be based on the premise that the linguistic knowledge acquired by these systems is comparable to that developed by humans. This book aims to evaluate whether this assumption is warranted. To this end, the opinions of renowned linguists and other cognitive scientists have been gathered to answer questions such as what kind of language knowledge these artificial systems have, to what extent they are faithful models of natural language knowledge, and what we can learn about the human language faculty by examining their inner workings. Anyone interested in the nature of human language and mind and in artificial intelligence can follow the eight chapters of the book without being an expert in linguistics or computer science. This is the first comprehensive work to present the views of experts in linguistic theory on the relevant questions mentioned above, and to provide an accessible presentation of current research on the nature of artificial knowledge of language. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9798261600466
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Taschenbuch. Condition: Neu. Artificial Knowledge of Language | A Linguist's Perspective on Its Nature, Origins and Use | José-Luis Mendívil-Giró | Taschenbuch | Series in Language and Linguistics | Englisch | 2026 | Vernon Press | EAN 9798261600466 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 135495720
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The central question that this volume seeks to answer is: What are the similarities and differences between how human beings know language and how artificial intelligence knows language The recent development and popularization of artificial intelligence systems called Large Language Models (such as ChatGPT) have led to a proliferation of opinions regarding the relevance of these systems beyond the practical purposes for which they were designed. It is not uncommon to find statements in social networks and popular magazines, as well as in academic publications, to the effect that these language models have solved the problems that sciences such as linguistics aim to solve, that their success in generating text can be seen as a refutation of some particularly influential theories of language, or that Language Models are actually scientific theories of language. These statements seem to be based on the premise that the linguistic knowledge acquired by these systems is comparable to that developed by humans. This book aims to evaluate whether this assumption is warranted. To this end, the opinions of renowned linguists and other cognitive scientists have been gathered to answer questions such as what kind of language knowledge these artificial systems have, to what extent they are faithful models of natural language knowledge, and what we can learn about the human language faculty by examining their inner workings. Anyone interested in the nature of human language and mind and in artificial intelligence can follow the eight chapters of the book without being an expert in linguistics or computer science. This is the first comprehensive work to present the views of experts in linguistic theory on the relevant questions mentioned above, and to provide an accessible presentation of current research on the nature of artificial knowledge of language. Seller Inventory # 9798261600466