Pronunciation: [ˈantlə] (IPA) 
ANTLR is a computer program used for generating parsers. The spelling of ANTLR is pronounced as "Antler". It is written in Java and developed as an open-source software by Terence Parr. The spelling for ANTLR is derived from an abbreviation called ANother Tool for Language Recognition. The IPA phonetic transcription for the spelling is ˈænt.lər. ANTLR uses a context-sensitive lexer to perform its function on parsing various languages.
ANTLR (ANother Tool for Language Recognition) is an open-source parser generator widely used for building language recognition tools. It is a powerful framework that allows developers to construct parsers, interpreters, and translators for various languages or document formats. By utilizing ANTLR, developers can quickly define the structure of a language using a formal grammar specification.
ANTLR operates on a context-free grammar basis, supporting multiple target languages such as Java, C#, Python, and JavaScript. At its core, ANTLR generates a lexer and parser based on the specified grammar rules, allowing it to analyze and interpret structured text input or source code. It employs a top-down parsing technique called recursive descent, which simplifies the generation process while delivering efficiency and scalability.
ANTLR-generated parsers are compatible with various application domains, including software development, configuration file processing, protocol definition, query languages, and more. It facilitates error detection and recovery, offering meaningful error messages to aid in debugging and enhancing the user experience. The flexibility of ANTLR allows developers to extend or modify the generated code easily, making it an adaptable tool for constructing language-processing applications.
Overall, ANTLR is a comprehensive parser generator that empowers developers to create language recognition tools efficiently. With its extensive features, ease of use, and compatibility across multiple programming languages, ANTLR has become a popular choice for building interpreters, translators, and other language-processing applications.
