Neural Machine Translation enhances accuracy and fluency.

Language modeling predicts text patterns using algorithms.

Word embeddings represent words as numerical vectors.

Word2Vec transforms words into numerical vectors, enhancing NLP.

GloVe: A powerful tool for word vectorization in NLP.

FastText: Efficient text classification and representation tool.

Contextual embeddings enhance word meaning through context.

ELMo enhances natural language processing with context-aware embeddings.

BERT embeddings enhance NLP tasks through contextualized understanding.

The Bag-of-Words model simplifies text analysis by indexing.