Thomas Hikaru Clark
@thomashikaru.bsky.social did:plc:d4k5rp4iscij2fadtuwdczhs
researching language as a cognitive technology Faculty Fellow at NYU Center for Data Science 💬 🧠 💻 🗼 PhD @ MIT Brain&CogSci former HS math and CS teacher
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Thomas Hikaru Clark (@thomashikaru.bsky.social), 10 Nisan 2025 tarihinde katılan bir Bluesky kullanıcısı. 198 takipçisi var, 162 hesabı takip ediyor ve 16 post paylaştı.
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Thank you for this, I sure was feeling crazy! Lately the jargon has gotten so bad that I've had to go back to the old "explain this like I'm five" trick
Postu gösterNoise models are also calibrated to experience. They adapt to context (readers expect more errors from an error-prone typist) and plausibly differ across populations, including older adults, people with aphasia, children, and L2 learners. 🧪 This opens up lots of new, testable predictions!
Postu gösterThe same inference can mislead us: “The mother gave the candle the daughter” is often read as if a “to” was dropped. This unifies explanations of phenomena from phonemic restoration to illusions (“No head injury is too trivial to be ignored”) to real-time processing effects (via noisy memory).
Postu gösterWe distinguish three sources of noise: errors in the speaker’s production (slips, typos), noise in the environment (a cough, a dropped call), and noise inside the comprehender (perception, attention, memory). Each has its own signature, and comprehenders seem to model all three.
Postu gösterWhen you hear “Can you demonstrate what it’s like to brush our 𝘵𝘦𝘦𝘵𝘩’𝘴 𝘱𝘦𝘵?” you probably infer that “pet’s teeth” was intended. You get there by combining prior expectations about what people are likely to say with a model of how messages get corrupted along the way.
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