Determining the relationship between Words involves analyzing their meanings, contexts, and syntactic roles within sentences. This can be achieved through techniques such as semantic analysis, which looks at Word associations and connotations, and syntactic parsing, which examines sentence structure. Additionally, machine learning models, like Word embeddings, can capture relationships by representing Words in a multidimensional space based on their usage in large datasets. This allows for the identification of synonyms, antonyms, and hierarchical relationships among Words.
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