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aren't near if they have no semantic similarity. The embeddings are equipment-produced determined by the phrase or token neighbours in texts, not by a human meta-clarification of what a phrase signifies. So „king“ could be both near „throne“ and „checkmate“ dependant on these two contexts in English texts. primary computing techniques