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CoCoDev
CoCoDev
Production practice is more effective than comprehension for second language learning Elise Hopman (University of Wisconsin-Madison) Abstract: Whereas most classroom-based language instruction traditionally emphasizes comprehension-based learning, memory research suggests that language production activities may provide a stronger learning experience than comprehension practice, due to the meaningfully different task demands involved in producing versus comprehending language. […]
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CoCoDev
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BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language Philip Huebner (University of Illinos, Urbana-Champaign) Abstract: Transformer-based language models have taken the NLP world by storm. However, their potential for addressing important questions in language acquisition research has been largely ignored. In this work, we examined the grammatical knowledge of RoBERTa (Liu et al., 2019) when […]
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Computational study of active and interactive word learning
Computational study of active and interactive word learning
Lieke Gelderloos, a Ph.D. researcher at Tilburg University, whose work is at the intersection of cognitive science, linguistics, and artificial intelligence The zoom link: https://univ-amu-fr.zoom.us/j/2515421853 Abstract: Models of cross-situational word learning typically characterize the learner as a passive observer. However, a language learning child can actively participate in verbal and non-verbal communication. We present a computational model […]
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Aurélie Bidet-Caulet
Aurélie Bidet-Caulet
How does the human brain resist auditory distraction? One main challenge for the attentive brain is to resist distracting information. Auditory distraction can result from predictable irrelevant information (e.g. ongoing background noise) or from unexpected, transient and salient distracting events (e.g. phone ring, fire alarm…). Using intracranial EEG, scalp EEG and MEG data combined with […]
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