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Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns - Nature Communications

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Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns - Nature Communications

Contextual embeddings, derived from deep language models (DLMs), provide a continuous vectorial representation of language. This embedding space differs fundamentally from the symbolic representations posited by traditional psycholinguistics. We hypothesize that language areas in the human brain, similar to DLMs, rely on a continuous embedding space to represent language.

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Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns - Nature Communications

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Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns - Nature Communications

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