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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Chinese sensorimotor and embodiment norms for 3,000 lexicalized concepts

    Researchers have developed a new database of sensorimotor and embodiment norms for 3,000 Mandarin Chinese concepts. This resource, collected from 378 native speakers, provides 11-dimensional sensorimotor ratings and unidimensional embodiment ratings. The data demonstrates high reliability and validity, and was used to show that sensorimotor information aids lexical processing. Furthermore, the study suggests that these sensorimotor ratings can be partially recovered from purely linguistic representations. AI

    IMPACT Provides a new dataset for grounding AI language models in embodied experience, potentially improving their understanding of concepts.