word embeddings
Word embeddings refer to numerical representations of words that capture their meaning and relationships within a given context. These representations are created using machine learning algorithms and are used to enhance natural language processing tasks such as semantic analysis, language generation, and machine translation. Word embeddings enable computers to understand the semantic similarities and differences between words, making them valuable tools in various language-related applications.
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