Le’an Luo
@leanluo.bsky.social
Reposted by Le’an Luo
How to compute surprisal (Shannon Information) for every word in your language sample. Then --- correlate surprisal with other major lexical-semantic variables (concreteness, semantic neighborhoods, freq). reilly-lab.github.io/Surprisal.html
Semantic Distance fMRI: Analyses, Psycholinguistic Correlations
reilly-lab.github.io
August 22, 2025 at 2:14 PM
How to compute surprisal (Shannon Information) for every word in your language sample. Then --- correlate surprisal with other major lexical-semantic variables (concreteness, semantic neighborhoods, freq). reilly-lab.github.io/Surprisal.html
So happy to share our new paper at J of Child Language 🥳
www.cambridge.org/core/journal...
www.cambridge.org/core/journal...
Mandarin-learning toddlers’ sensitivity to noun phrase word order: An investigation of an early bias for language universals | Journal of Child Language | Cambridge Core
Mandarin-learning toddlers’ sensitivity to noun phrase word order: An investigation of an early bias for language universals
www.cambridge.org
August 22, 2025 at 1:33 PM
So happy to share our new paper at J of Child Language 🥳
www.cambridge.org/core/journal...
www.cambridge.org/core/journal...