Translations:Word Embeddings/1/en

Word embeddings are dense, low-dimensional vector representations of words in which semantically similar words are mapped to nearby points in the vector space. They are a foundational component of modern natural language processing (NLP), replacing sparse one-hot encodings with representations that capture meaning, analogy, and syntactic relationships.