Language Detection

Detect foreign languages and syntax used in agent prompts:

Purpose: The Language Detection scanner is designed to automatically identify the language(s) used in text inputs.

Functionality: It analyzes the linguistic features of text data, such as vocabulary, syntax, and character n-grams, to determine the most likely language(s) present in the input.

Implementation: The scanner employs statistical language models or machine learning algorithms trained on multilingual text corpora to recognize patterns indicative of different languages. It may use techniques such as n-gram analysis, language-specific word lists, or deep learning models to improve accuracy.

Usage: Language Detection is commonly used in multilingual applications, text processing pipelines, and internationalization efforts to automatically adapt language-specific processing or content presentation based on user input.