autocompletion$503111$ - traduction vers allemand
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Dictionnaire ChatGPT
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Traduction et analyse de mots par intelligence artificielle ChatGPT

Sur cette page, vous pouvez obtenir une analyse détaillée d'un mot ou d'une phrase, réalisée à l'aide de la meilleure technologie d'intelligence artificielle à ce jour:

  • comment le mot est utilisé
  • fréquence d'utilisation
  • il est utilisé plus souvent dans le discours oral ou écrit
  • options de traduction de mots
  • exemples d'utilisation (plusieurs phrases avec traduction)
  • étymologie

autocompletion$503111$ - traduction vers allemand

COMPUTING FEATURE PREDICTING ENDING TO A WORD A USER IS TYPING
Word completion; Code completion; Autocompletion; Auto-completion; AutoReplace; AutoComplete; Line completion; CTRL SPACE; Auto-complete; Auto complete; Word prediction; Context completion; Letmetype; Typingaid
  • Autocomplete of the search box in [[Mozilla Firefox]]
  • Code completion in [[Qt Creator]] 5.0: The programmer types some code, and when the software detects a recognizable string such as a variable identifier or class name it presents a menu to the programmer which contains the complete name of the identified variable or the methods applicable to the detected class, and the programmer makes a choice with her or his mouse or with the keyboard arrow keys. If the programmer continues typing without making a choice, then the menu disappears

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Wikipédia

Autocomplete

Autocomplete, or word completion, is a feature in which an application predicts the rest of a word a user is typing. In Android and iOS smartphones, this is called predictive text. In graphical user interfaces, users can typically press the tab key to accept a suggestion or the down arrow key to accept one of several.

Autocomplete speeds up human-computer interactions when it correctly predicts the word a user intends to enter after only a few characters have been typed into a text input field. It works best in domains with a limited number of possible words (such as in command line interpreters), when some words are much more common (such as when addressing an e-mail), or writing structured and predictable text (as in source code editors).

Many autocomplete algorithms learn new words after the user has written them a few times, and can suggest alternatives based on the learned habits of the individual user.