Tech Insights

Natural Language Processing (NLP)

Last updated May 19, 2025, generated by Sumble

What is Natural Language Processing (NLP)?

Natural Language Processing (NLP) is a branch of artificial intelligence that deals with the interaction between computers and humans using natural language. It enables computers to understand, interpret, and generate human language, bridging the gap between human communication and machine understanding. NLP is commonly used in chatbots, machine translation, sentiment analysis, text summarization, and speech recognition.

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What other technologies are related to Natural Language Processing (NLP)?

Natural Language Processing (NLP) Complementary Technologies

Natural Language Generation (NLG)

NLG is a subfield of NLP focused on generating human-readable text from structured data. It complements NLP by providing the capability to produce text after understanding it.

mentioned alongside Natural Language Processing (NLP) in 56% (62) of relevant job posts

Natural Language Understanding (NLU)

NLU is a subfield of NLP focused on understanding the meaning of human language. It is a core component of NLP, providing the foundation for many NLP tasks.

mentioned alongside Natural Language Processing (NLP) in 45% (69) of relevant job posts

Machine Learning (ML)

ML provides the algorithms and techniques that enable NLP models to learn from data. It's a core enabler of modern NLP.

mentioned alongside Natural Language Processing (NLP) in 14% (199) of relevant job posts