Tokened: meaning, definitions and examples
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tokened
[ ˈtoʊkənd ]
processing data
In the realm of computer science and linguistics, 'tokened' refers to the process of breaking down a sequence of text into smaller units known as tokens. Tokens can be words, phrases, or symbols. This process is crucial in natural language processing to analyze and manipulate text effectively. Tokenization helps in various applications, such as text analysis, information retrieval, and machine learning. In essence, tokening is fundamental for understanding the structure and meaning of language.
Synonyms
broken down, parsed, segmented.
Examples of usage
- The text was tokened for analysis.
- Before processing, the data is tokened.
- In NLP, sentences are often tokened into words.
Translations
Translations of the word "tokened" in other languages:
🇵🇹 tokenizado
🇮🇳 टोकन किया हुआ
🇩🇪 tokenisiert
🇮🇩 tokenisasi
🇺🇦 токенізований
🇵🇱 tokenizowany
🇯🇵 トークン化された
🇫🇷 tokenisé
🇪🇸 tokenizado
🇹🇷 tokenleştirilmiş
🇰🇷 토큰화된
🇸🇦 مُعَلَّم
🇨🇿 tokenizovaný
🇸🇰 tokenizovaný
🇨🇳 标记化的
🇸🇮 tokeniziran
🇮🇸 tókneraður
🇰🇿 токенделген
🇬🇪 ტოკენიზირებული
🇦🇿 tokenləşdirilmiş
🇲🇽 tokenizado
Etymology
The term 'token' in its broadest sense is derived from the Old English word 'tacan' which means 'to show or demonstrate'. In computer science, the word began to take on its modern meaning in the 1980s with the rise of programming languages that required parsing of textual data. Tokenization emerged as a necessary step in processing natural language, where text needed to be broken down into manageable pieces for analysis. The digital age has amplified the importance of tokenization, particularly with the advent of big data and the increasing need for sophisticated algorithms to handle vast volumes of text. As a result, the process of 'tokening' has become a cornerstone in fields ranging from text mining to artificial intelligence.