Ted Gibson: The Structure and Purpose of Language

The Gradient: Perspectives on AI

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 [e-mail]

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