Lexer Meaning: Definition, Examples, and Translations
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lexer
[ˈlɛksər ]
Definition
computer programming
A lexer is a software tool used for breaking input into pieces called tokens. It is an essential component of a compiler or interpreter, responsible for analyzing the source code and converting it into a stream of tokens for further processing.
Synonyms
lexical analyzer, scanner, tokenizer.
Which Synonym Should You Choose?
Word | Description / Examples |
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lexer |
This term is primarily used in the context of programming and computer science. It's usually mentioned when discussing the early stages of compilation where source code is processed.
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tokenizer |
This term is used widely not only in programming but also in natural language processing (NLP). It refers to the process of breaking a stream of text into tokens, which can be words, phrases, or other meaningful units.
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scanner |
This word has a broader use case but is often applied in programming when referring to the process of reading and interpreting streams of characters. It's also used outside of programming in contexts like reading documents or barcodes.
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lexical analyzer |
This is a more formal term than 'lexer' and might be used in academic or technical discussions. It refers specifically to the process of analyzing sequences of characters in programming languages.
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Examples of usage
- The lexer scans the source code and identifies keywords, operators, and identifiers.
- After tokenizing the input, the lexer passes the tokens to the parser for syntax analysis.
Translations
To see the translation, please select a language from the options available.
Interesting Facts
Technology
- Lexers are essential components in compilers, which translate high-level programming languages into machine code.
- They help identify different types of tokens like keywords, operators, and symbols, crucial for the syntax of programming languages.
- Popular programming languages, like Python and Java, all use lexers to parse their code effectively.
Science
- Lexers can be found in Natural Language Processing (NLP) systems, aiding in sentiment analysis and machine translation.
- They aid in analyzing social media text, enabling algorithms to understand user sentiments and categorize content.
- Research in artificial intelligence often involves improving lexers to make human-computer communication smoother.
Literature
- The design of lexers can reflect literary devices, allowing for the parsing of poetic structures or narrative styles.
- Researchers study how lexers can help machines analyze and generate literary content, shaping the future of digital literature.
- Through lexers, programs can better understand context in literary texts, paving the way for more nuanced algorithms in storytelling.
Origin of 'lexer'
Main points about word origin
- The term 'lexer' comes from 'lexical analyzer,' where 'lexical' relates to words and vocabulary.
- The word 'lexis' in Greek means 'word,' highlighting the focus on text and language processing.
- The concept originated in the 1950s as programming languages began to develop, reflecting the need for better text handling.
The term 'lexer' is a short form of 'lexical analyzer,' which dates back to the early days of compiler design in the 1950s. Lexers were introduced to separate the concerns of lexical analysis from other parsing tasks, leading to more modular and efficient compiler implementations.