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Word Embeddings MCQ
📖 NLP Word Embeddings quiz
20 questions on word2vec, GloVe & FastText. No answers pre‑marked – select, check, and learn.
6 easy
8 medium
6 hard
🔠Word embeddings concepts covered
This quiz covers word embeddings: dense vector representations of words (word2vec, GloVe, FastText), the distributional hypothesis, similarity, and how they capture semantic and syntactic relations.
Word2Vec (CBOW, skip-gram)
GloVe
FastText
Distributional hypothesis
Similarity & analogy
OOV handling