In the @CSL_Lab @Cornell, we study the evolution, acquisition and processing of language from a cognitive science perspective. Directed by @MH_Christiansen
Very honored to visit @ucmerced next week to receive the Distinguished Cognitive Scientist Award.
I'll deliver both a talk in the Dept of Cognitive & Information Science , "The Conversational Nature of Language", + a public lecture on The Language Game.
https://t.co/8plm42MP2b
Letter in Cognitive Science by @falk_huettig and @CSL_Lab's @MH_Christiansen about the important role that cognitive scientists have in making sure that Large Language Models have a positive impact on literacy acquisition.
Read it for free: https://t.co/isMLLL6Vnt
Congrats to @CSL_Lab's Cris Rivera who defended his A-exam (PhD qualifying examination) and is now ABD. Watch this space for more on his future dissertation work.
@CSL_Lab alumn @pcontrerask talks about how feedback is crucial for getting large language models to produce more human-like language output, such as making similar agreement errors and being sensitive to subtle semantic distinctions
Big congrats 🥳 to @CSL_Lab's Calen MacDonald @calencain who gave a splendid 2nd-year talk last week on his work on the role of feedback in iterated learning.
👉Check out his poster about this at @EvolangConf 2024 next month: "A feedback-facilitated iterated learning experiment"
Congrats to @CSL_Lab's @sereyuwang for giving a great 4th-year talk about her work on the role of chunking in second-language learning.
👏Watch this space for the papers to come out of this work!
Meta-analysis of auditory statistical learning by @CSL_Lab alum @erin_isbilen and @MH_Christiansen was a top downloaded article in Cognitive Science in 2022 🥳
@CSL_Lab's @MH_Christiansen was interviewed by Naoto Sato from Emotional Link about his work on first and second language learning, Large Language Models, and his recent book THE LANGUAGE GAME (with @NickJChater).
Read the interview here: https://t.co/efR26gB7PY
We're very excited to announce that @CSL_Lab's @FFrinsel is now Dr. @FFrinsel! Congrats! 🥳
Here are the conclusion from her brilliant PhD defense talk "When Mere Exposure is not Enough: The Role of Feedback in Learning Artificial Languages with Fixed and Flexible Word Order" 1/2
📣First paper from a new line of @CSL_Lab research is out in Cognitive Science. Three pre-registered experiments highlight role of positive and negative feedback in language learning via statistical learning
https://t.co/SSEmKNvTrj
by @FFrinsel, @fabio_trecca & @MH_Christiansen
But good to excellent reliability can be found using individual sentence types. E.g., instead of contrasting subject and object relative clauses (= difference score), focus on the hard-to-process region(s) of the ORC sentence. The same likely works for other sentence types
2/2
New paper by @CSL_Lab's @FFrinsel and @MH_Christiansen showing that the use of difference scores in self-paced reading has poor internal consistency and test-retest reliability when used to measure individual differences in language processing
https://t.co/XqqEJ4Fjs0
1/2
Great talk by @CSL_Lab’s @FFrinsel about her important work on the test-retest reliability of self-paced reading as a measure of individual differences in language processing (co-authored by @CSL_Lab’s @MH_Christiansen)