Text summarization is an NLP application that automatically generates a concise summary of a larger text document.

NER is an NLP application that identifies and classifies named entities (e.g., people, organizations, locations) within a text.

Machine translation is an NLP application that automatically translates text from one language to another.

Information extraction is an NLP application that extracts structured data from unstructured text.

Question answering is an NLP application that automatically answers questions based on a given context.

POS tagging is an NLP application that assigns grammatical categories (e.g., noun, verb, adjective) to words in a sentence.

Text generation is an NLP application that automatically generates text that sounds natural and human-like.

Sentiment analysis is an NLP application that automatically classifies the sentiment of a text (positive, negative, or neutral).

Keyword extraction is an NLP application that automatically extracts key phrases or keywords from a text.

Speech recognition is an NLP application that automatically recognizes and transcribes spoken language into text.

Text generation is an NLP application that automatically generates text that is similar to a given input text.

Text classification is an NLP application that automatically classifies text into predefined categories.

Grammar correction is an NLP application that automatically detects and corrects grammatical errors in text.

Relationship extraction is an NLP application that automatically identifies and extracts relationships between entities in a text.

Text summarization is an NLP application that automatically generates a summary of a larger text document.