tokenizációs

Tokenization is a fundamental process in computing, particularly in natural language processing and compiler design. It involves breaking down a larger body of text or code into smaller, discrete units called tokens. These tokens can represent words, punctuation marks, numbers, symbols, or even individual characters, depending on the specific application and the defined rules for tokenization.

In natural language processing, tokenization is the first step in understanding and analyzing human language. For example, the sentence "The quick brown fox jumps." might be tokenized into the following tokens: "The", "quick", "brown", "fox", "jumps", and ".". This process allows computers to process and interpret text more systematically, enabling tasks such as sentiment analysis, machine translation, and information retrieval.

Similarly, in compiler design, tokenization, also known as lexical analysis, is crucial for translating source code into machine-readable instructions. A compiler breaks down programming code into tokens that represent keywords, identifiers, operators, and literals. This token stream is then passed to the parser for syntactic analysis, which checks the grammatical structure of the code. The choice of what constitutes a token and how the text is segmented is determined by a set of rules, often defined by a formal grammar or a tokenizer specification. This systematic breakdown simplifies the subsequent stages of processing and analysis.