Cognitive Science of Language Lab
@CSL_Lab
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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
RT @MH_Christiansen: Very honored to visit @ucmerced next week to receive the Distinguished Cognitive Scientist Award. I'll deliver both a….
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@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:.
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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:
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@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
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@CSL_Lab alumn @erin_isbilen talks about her work on using word search as a measure of statistical learning in reading
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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"
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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!
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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:
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📣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.by @FFrinsel, @fabio_trecca & @MH_Christiansen.
onlinelibrary.wiley.com
In language learning, learners engage with their environment, incorporating cues from different sources. However, in lab-based experiments, using artificial languages, many of the cues and features...
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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
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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.1/2
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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:
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@CSL_Lab's @MH_Christiansen interviewed for a WIRED article about how universities deal with #GenerativeAI in #education.
wired.cz
In an era where technology and education converge, the rise of artificial intelligence has presented both opportunities and challenges for higher learning institutions. WIRED.CZ did research on how...
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@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.
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