Tokenisera

Tokenisera is a Swedish verb meaning to tokenize, i.e., to convert a sequence of input data into discrete tokens that can be processed by software. In computing, tokenization is used in several contexts, most commonly in natural language processing and data security. In NLP, tokenization involves breaking text into units such as words, as well as punctuation or subword units, to enable statistical analysis, parsing, or modelling. Token types can be words, morphemes, or subword segments, and tokenization strategies range from simple whitespace splitting to more sophisticated algorithms like subword tokenization (e.g., byte-pair encoding).

In data security, tokenization refers to substituting sensitive data with non-sensitive placeholders, or tokens, that map back to the original data in a secure vault. Tokens preserve useful format properties (such as length and character set) so that existing systems can operate without handling the sensitive data. Tokenization is commonly used to protect payment card numbers, personally identifiable information, and other confidential data in databases and applications.

Key considerations when applying tokenization to data include the choice between reversible tokens (where mapping can be recovered) and non-reversible tokens; deterministic versus non-deterministic tokenization; performance implications; and the need for a secure token vault and robust access controls. The term has parallel usage in English, where "tokenize" or "tokenise" is used, and in Swedish technical literature the infinitive "tokenisera" is common.