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This article provides an in-depth exploration of various methods for processing JSON data in .NET environments using the Newtonsoft.Json library. Through practical API call examples, it analyzes the appropriate scenarios for full object deserialization versus LINQ to JSON, comparing the technical characteristics of dynamic types, strongly-typed approaches, and selective parsing. The article includes comprehensive code examples and best practice recommendations to help developers choose the most suitable JSON processing solution based on specific requirements.

This article delves into the core theoretical distinctions between lexers and parsers, based on Chomsky's hierarchy of grammars, analyzing the capabilities and limitations of regular grammars versus context-free grammars. By comparing their similarities and differences in symbol processing, grammar matching, and semantic attachment, with concrete code examples, it explains the appropriate scenarios and constraints of regular expressions in lexical analysis and the necessity of EBNF for parsing complex syntactic structures. The discussion also covers integrating tokens from lexers with parser generators like ANTLR, providing theoretical guidance for designing language processing tools.