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Contemporary linguistics, founded and inspired by Noam Chomsky, seeks to understand the hallmark of our humanity—language. Linguists develop powerful tools to discover how knowledge of language is acquired and how the brain puts it to use. AI experts, using vastly different methods, create remarkable neural networks—large language models (LLMs) such as ChatGPT—said to learn and use language like us.
Chomsky called LLMs “a false promise.” AI leader Geoffrey Hinton has declared that “neural nets are much better at processing language than anything ever produced by the Chomsky School of Linguistics.”
Who is right, and how can we tell? Do we learn everything from scratch, or could some knowledge be innate? Is our brain one big network, or is it built out of modules, language being one of them?
In How Deeply Human Is Language?, Yosef Grodzinsky explains both approaches and confronts them with the reality as it emerges from the engineering, linguistic, and neurological record. He walks readers through vastly different methods, tools, and findings from all these fields. Aiming to find a common path forward, he describes the conflict, but also locates points of potential contact, and sketches a joint research program that may unite these communities in a common effort to understand knowledge and learning in the brain.
Contemporary linguistics, founded and inspired by Noam Chomsky, seeks to understand the hallmark of our humanity—language. Linguists develop powerful tools to discover how knowledge of language is acquired and how the brain puts it to use. AI experts, using vastly different methods, create remarkable neural networks—large language models (LLMs) such as ChatGPT—said to learn and use language like us.
Chomsky called LLMs “a false promise.” AI leader Geoffrey Hinton has declared that “neural nets are much better at processing language than anything ever produced by the Chomsky School of Linguistics.”
Who is right, and how can we tell? Do we learn everything from scratch, or could some knowledge be innate? Is our brain one big network, or is it built out of modules, language being one of them?
In How Deeply Human Is Language?, Yosef Grodzinsky explains both approaches and confronts them with the reality as it emerges from the engineering, linguistic, and neurological record. He walks readers through vastly different methods, tools, and findings from all these fields. Aiming to find a common path forward, he describes the conflict, but also locates points of potential contact, and sketches a joint research program that may unite these communities in a common effort to understand knowledge and learning in the brain.
Acknowledgments
Prologue: Is bigger better?
Part 1 Where We are: The Language Sciences
Chapter 1. Grammars, old and new
Chapter 2: Hints from current day linguistic theory
Part 2 Where we are: The technology
Chapter 3. From Perceptrons to Deep Learning
Chapter 4 Dreams about Talking Machines: Large Language Models
Part 3: Getting under the hood
Chapter 5. A duel: Science vs. Technology
Chapter 6. Poking linguistic holes in LLMs (ChatGPT included)
Part 4 The Brain’s Language Code
Chapter 7. A mosaic of neurolinguistic modules
Chapter 8. Modeling the linguistic brain with LLMs Coda: are LLMs models for the brain’s language mechanisms?
Epilogue: shall we work together?
| Erscheinungsjahr: | 2026 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9780262052009 |
| ISBN-10: | 0262052008 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Grodzinsky, Yosef |
| Hersteller: | MIT Press Ltd |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 227 x 153 x 15 mm |
| Von/Mit: | Yosef Grodzinsky |
| Erscheinungsdatum: | 21.04.2026 |
| Gewicht: | 0,334 kg |
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