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Large GPT-like Models are Bad Babies: A Closer Look at the Relationship between Linguistic Competence and Psycholinguistic Measures
Research on the cognitive plausibility of language models (LMs) has so far mostly concentrated on modelling psycholinguistic response variables such as reading times, gaze durations and N400/P600 EEG signals, while mostly leaving out the dimension of what Mahowald et al. (2023) described as formal and functional linguistic competence, and developmental plausibility.
Information-Theoretic Characterization of Vowel Harmony: A Cross-Linguistic Study on Word Lists
Training data for our PLMs consists of word lists with a maximum of 1000 entries per language.
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