In the @CSL_Lab @Cornell, we study the evolution, acquisition and processing of language from a cognitive science perspective. Directed by @MH_Christiansen
Joined January 2021
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Cognitive Science of Language Lab retweeted
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.
news.ucmerced.edu/content/co…
@CSL_Lab's @MH_Christiansen gave a talk in the Language Circle Speaker series at the MPI for Human Cognitive and Brain Science, covering #LanguageEvolution #LanguageAcquisition #Chunking and more...
You can watch the talk here:
languagecycles.com/language-…
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: onlinelibrary.wiley.com/shar…
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
@CSL_Lab alumn @erin_isbilen talks about her work on using word search as a measure of statistical learning in reading
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 🥳
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@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: emotional-link.co.jp/christi…
ALT https://emotional-link.co.jp/christiansen-prof/
And you can find many @CSL_Lab members on her thank you slide (1/2) 🥳👏
ALT Felicity Frinsel thanking folks who have helped her on her PhD journey
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
ALT Felicity Frinsel concluding her public talk at her PhD defense
📣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
dx.doi.org/10.1111/cogs.1341…
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
rdcu.be/dzbwE
1/2
Cognitive Science of Language Lab retweeted
Some more exciting results from the @PuzzleOfDanish project
Conversations are fine-tuned to the specific challenges of context & language used. Interlocutors re-use each other’s words more during affiliative chats vs joint decisions. Challenging sound structures show different trade-offs for these adjustments. doi.org/10.1111/cogs.13387 1/
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)
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Here's a link to the CU Committee Report: Generative Artificial Intelligence for Education and Pedagogy: teaching.cornell.edu/generat…
@CSL_Lab's @MH_Christiansen interviewed for a WIRED article about how universities deal with #GenerativeAI in #education.
wired.cz/clanky/dangerous-or…
@CSL_Lab's @MH_Christiansen was on the Breaking Boundaries podcast discussing the future of #language and #multilingualism in the era of Large Language Models (like #ChatGPT) with @VioricaMarian1 and host @AnneliseRiles
buzzsprout.com/1866395/13686…