Tokeniseringer

Tokeniseringer is a Danish term referring to multiple instances of tokenisering, a concept that spans linguistic processing and data security. In general, tokenisering is the process of replacing sensitive data or streams with tokens that stand in for the original content. This article covers two main senses of tokeniseringer: linguistic tokenization used in natural language processing, and data security tokenization used to protect sensitive information.

In language processing, tokenisering divides text into discrete units called tokens: words, punctuation, numbers, or subword units. Tokenization is a preprocessing step for many NLP tasks. Approaches vary: word-level, character-level, and subword methods such as byte-pair encoding. Challenges include handling clitics, punctuation, languages without clear word boundaries, and Unicode normalization.

In data security, tokenisering replaces sensitive data such as payment card numbers with non-sensitive tokens. A token is mapped back to the original data in a secure token vault. Tokenization preserves data format and helps reduce the scope for compliance requirements while simplifying data handling. It is distinct from encryption in that tokens cannot be reverse-engineered without vault access, and there is no cryptographic key required for the token itself.

Implementation considerations include risk management, governance, and lifecycle management for tokens, vault reliability, and rotation policies. Standards and guidelines exist in regions or industries (for example PCI DSS in payments) but tokenization practices are often bespoke to vendors and use cases.

In practice, tokeniseringer thus refer to these distinct applications of tokenization in linguistic processing and data protection, contributing to both analytical capabilities and data security.