Ted Gibson: The Structure and Purpose of Language

Ted Gibson: The Structure and Purpose of Language

Author: Daniel Bashir January 18, 2024 Duration: 2:13:24

In episode 107 of The Gradient Podcast, Daniel Bashir speaks to Professor Ted Gibson.

Ted is a Professor of Cognitive Science at MIT. He leads the TedLab, which investigates why languages look the way they do; the relationship between culture and cognition, including language; and how people learn, represent, and process language.

Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pub

Subscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter

Outline:

* (00:00) Intro

* (02:13) Prof Gibson’s background

* (05:33) The computational linguistics community and NLP, engineering focus

* (10:48) Models of brains

* (12:03) Prof Gibson’s focus on behavioral work

* (12:53) How dependency distances impact language processing

* (14:03) Dependency distances and the origin of the problem

* (18:53) Dependency locality theory

* (21:38) The structures languages tend to use

* (24:58) Sentence parsing: structural integrations and memory costs

* (36:53) Reading strategies vs. ordinary language processing

* (40:23) Legalese

* (46:18) Cross-dependencies

* (50:11) Number as a cognitive technology

* (54:48) Experiments

* (1:03:53) Why counting is useful for Western societies

* (1:05:53) The Whorf hypothesis

* (1:13:05) Language as Communication

* (1:13:28) The noisy channel perspective on language processing

* (1:27:08) Fedorenko lab experiments—language for thought vs. communication and Chomsky’s claims

* (1:43:53) Thinking without language, inner voices, language processing vs. language as an aid for other mental processing

* (1:53:01) Dependency grammars and a critique of Chomsky’s grammar proposals, LLMs

* (2:08:48) LLM behavior and internal representations

* (2:12:53) Outro

Links:

* Ted’s lab page and Twitter

* Re-imagining our theories of language

* Research — linguistic complexity and dependency locality theory

* Linguistic complexity: locality of syntactic dependencies (1998)

* The Dependency Locality Theory: A Distance-Based Theory of Linguistic Complexity (2000)

* Consequences of the Serial Nature of Linguistic Input for Sentential Complexity (2005)

* Large-scale evidence of dependency length minimization in 37 languages (2015)

* Dependency locality as an explanatory principle for word order (2020)

* Robust effects of working memory demand during naturalistic language comprehension in language-selective cortex (2022)

* A resource-rational model of human processing of recursive linguistic structure (2022)

* Research — language processing / communication and cross-linguistic universals

* Number as a cognitive technology: Evidence from Pirahã language and cognition (2008)

* The communicative function of ambiguity in language (2012)

* The rational integration of noisy evidence and prior semantic expectations in sentence interpretation (2013)

* Color naming across languages reflects color use (2017)

* How Efficiency Shapes Human Language (2019)



Get full access to The Gradient at thegradientpub.substack.com/subscribe

Hosted by Daniel Bashir, The Gradient: Perspectives on AI moves beyond surface-level headlines to explore the intricate machinery and human ideas shaping artificial intelligence. Each episode is built on a foundation of deep research, leading to conversations that are both technically substantive and broadly accessible. You'll hear from researchers, engineers, and philosophers who are actively building and critiquing our technological future, discussing not just how AI systems work, but the larger implications of their integration into society. This isn't about speculative hype; it's a grounded examination of real progress, persistent challenges, and ethical considerations from those on the front lines. The discussions peel back layers on topics like model architecture, policy, and the fundamental science behind the algorithms becoming part of our daily lives. For anyone curious about the substance behind the buzz-whether you have a technical background or are simply keen to understand a defining technology of our age-this podcast offers a crucial and thoughtful resource. Tune in for a consistently detailed and nuanced take that treats artificial intelligence with the complexity it deserves.
Author: Language: English Episodes: 100

The Gradient: Perspectives on AI
Podcast Episodes
Judy Fan: Reverse Engineering the Human Cognitive Toolkit [not-audio_url] [/not-audio_url]

Duration: 1:32:39
Episode 136I spoke with Judy Fan about:* Our use of physical artifacts for sensemaking* Why cognitive tools can be a double-edged sword* Her approach to scientific inquiry and how that approach has developedEnjoy—and let…
L.M. Sacasas: The Questions Concerning Technology [not-audio_url] [/not-audio_url]

Duration: 1:47:20
Episode 135I spoke with L. M. Sacasas about:* His writing and intellectual influences* The value of asking hard questions about technology and our relationship to it* What happens when we decide to outsource skills and c…
Pete Wolfendale: The Revenge of Reason [not-audio_url] [/not-audio_url]

Duration: 2:52:57
Episode 134I spoke with Pete Wolfendale about:* The flaws in longtermist thinking* Selections from his new book, The Revenge of Reason* Metaphysics* What philosophy has to say about reason and AIEnjoy—and let me know wha…
Peter Lee: Computing Theory and Practice, and GPT-4's Impact [not-audio_url] [/not-audio_url]

Duration: 1:01:48
Episode 133I spoke with Peter Lee about:* His early work on compiler generation, metacircularity, and type theory* Paradoxical problems* GPT-4s impact, Microsoft’s “Sparks of AGI” paper, and responses and criticismEnjoy—…
Manuel & Lenore Blum: The Conscious Turing Machine [not-audio_url] [/not-audio_url]

Duration: 2:23:04
Episode 132I spoke with Manuel and Lenore Blum about:* Their early influences and mentors* The Conscious Turing Machine and what theoretical computer science can tell us about consciousnessEnjoy—and let me know what you…
Kevin Dorst: Against Irrationalist Narratives [not-audio_url] [/not-audio_url]

Duration: 2:15:21
Episode 131I spoke with Professor Kevin Dorst about:* Subjective Bayesianism and epistemology foundations* What happens when you’re uncertain about your evidence* Why it’s rational for people to polarize on political mat…
David Pfau: Manifold Factorization and AI for Science [not-audio_url] [/not-audio_url]

Duration: 2:00:52
Episode 130I spoke with David Pfau about:* Spectral learning and ML* Learning to disentangle manifolds and (projective) representation theory* Deep learning for computational quantum mechanics* Picking and pursuing resea…
Sergiy Nesterenko: Automating Circuit Board Design [not-audio_url] [/not-audio_url]

Duration: 1:03:35
Episode 128I spoke with Sergiy Nesterenko about:* Developing an automated system for designing PCBs* Difficulties in human and automated PCB design* Building a startup at the intersection of different areas of expertiseB…