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#96: How Words Get Their Meaning (feat. Gary Lupyan)

5 snips
Dec 13, 2022
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1
Introduction
00:00 • 2min
2
The Sapier Wharf Theory
01:32 • 2min
3
Cognitive Science - A Conversation With Michael Thomasello
03:25 • 2min
4
What Is Language For?
05:04 • 4min
5
What Is Language For?
09:18 • 3min
6
Language Is a Tool, You Know?
12:30 • 2min
7
Learning a Word Through Formal Instruction
14:44 • 4min
8
How Do We Know What We Learn When We Learn Words?
18:40 • 3min
9
Language Is a Tool Theory
21:23 • 4min
10
Machine Learning - Distributional Semantics Vector Representations
25:15 • 4min
11
Using a Neural Network to Predict Words
29:00 • 3min
12
The Co Currents Tree and Distributional Semantics
31:54 • 2min
13
Using Language to Generate Visual Visual Outputs
33:46 • 2min
14
Is It Possible to Derive Meaning From Distributional Information?
36:01 • 5min
15
What Was Proto Language Like?
40:42 • 5min
16
Cognitive Innovations From the Cultural Origins of Human Cognitive Innovation
45:36 • 5min
17
The Big Deal Is, It's a Change With Massive Consequences
50:42 • 4min
18
Subscribing to the Substack Newsletter
55:11 • 2min
19
Is Language More Iconic Than Arbitrariness?
57:22 • 2min
20
Is There a Relationship Between Speech and Language?
59:21 • 2min
21
Is There a Difference Between Children and Adults in Language Learning?
01:01:51 • 3min
22
What Are Adults Better at Learning to Learn?
01:04:28 • 3min
23
The Motivational Aspects of Learning a Second Language
01:07:02 • 4min
24
Is Language a System of Categories?
01:11:09 • 3min
25
Is There a Difference Between English and Russian?
01:14:19 • 4min
26
The Latino Breitenbergs Vehicles
01:18:09 • 2min
27
Is There a Single One That Stands Out?
01:19:49 • 4min