Natural Language Processing (NLP)

Level 1

Teaching computers to understand and use human language — like reading, writing, and having conversations.

Level 2

The branch of AI that deals with human language — understanding text, translating between languages, summarizing documents, and answering questions.

Level 3

A field of AI focused on the interaction between computers and human language, encompassing tasks like translation, summarization, sentiment analysis, and question answering.

Level 4

The study of computational methods for analyzing, understanding, and generating human language — spanning tokenization, parsing, semantic analysis, and generation, now dominated by transformer-based approaches.

Level 5

Computational linguistics applied via statistical and neural methods — encompassing morphological, syntactic, semantic, and pragmatic analysis layers, increasingly unified under the pre-train-then-adapt paradigm with autoregressive language models.

Sources

• NIST Trustworthy and Responsible AI Resource Center: Glossary — National Institute of Standards and Technology. Accessed 2026-07-20.