American English words that are specific, imaginable, or concrete tend to be made up of surprising phonological sequences. We propose the Attentional Optimization Hypothesis to explain this.
Say it like you mean it: www.sciencedirect.com/.../pii/S001...
16.12.2025 00:14 —
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Clarification: Summaries of my paper “What AI Might Teach Us About the Origin of Human Language” (arXiv:2301.06211) have appeared on ResearchBunny and in their promotional material. I was unaware of them until recently and I did not commission, fund, or collaborate on these posts.
27.10.2025 21:31 —
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YouTube video by alex kilpatrick
Information Theory: The Attentional Optimization Hypothesis
I made this. It's about how, in at American English, words that are semantically vivid, tend to be made up of more unpredictable sequences of phonemes and explores the processing effects of this. The study is currently under review so it might be nonsense 😁.
youtu.be/MmwaKjoUpy8
25.07.2025 01:07 —
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W see 22ssßs we see s we
27.02.2025 08:54 —
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Obligatory publication post: American English words with negative valence carry more Shannon's information. Both increased information and negative valence are associated with higher accuracy in a memory recognition experiment.
pubs.aip.org/asa/jel/arti...
21.02.2025 00:02 —
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YouTube video by alex kilpatrick
1st Workshop on Computational Humor-Kilpatrick & Flaksman
I'm presenting at the first workshop on computational humor tomorrow. Here is my practice run for the study: "The Exception of Humor: Iconicity, Phonemic Surprisal, Memory Recall, and Emotional Associations"
Alexander Kilpatrick and Maria Flaksman.
youtu.be/mX-oErhmIKQ?...
18.01.2025 10:10 —
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Thank you for saying so. However, I should note that it's still under peer review so it might be nonsense :)
26.11.2024 00:51 —
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