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Parsing

As explained in Natural Language Processing in Action, Second Edition

A parser is a software component that analyzes text to identify its structural parts and the relationships among them.

Parsing is the process of analyzing natural-language text by breaking a sentence into structural parts and identifying the relationships among them. section 1.1

Unlike a compiler, a parser does not automatically convert natural language into executable machine instructions. It supports NLP systems that analyze, compare, summarize, or generate text, often alongside other algorithms and Python packages. section 1.1

How Natural Language Processing in Action, Second Edition covers it

How deep it goes
Defines structural analysis and its purpose, but stops short of describing parsing algorithms or implementation details.
Examples
Contrasts natural-language sentences with programming-language instructions and executable machine code.
What you can do after
Evaluate/understand how parsers expose sentence structure without treating them as complete natural-language compilers.
How it connects
Connects parsing with natural language processing, programming languages, compilers, machine learning, and text generation.

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This explainer was generated by Manning's knowledge graph from the text of Natural Language Processing in Action, Second Edition. The section links point to the parts of the book it draws on.