Definition
The process of identifying the natural language of a user prompt or source document to select the appropriate embedding model, translation layer, or localized vector index; architectural trade-offs involve balancing the high accuracy/high latency of LLM-based detection against the speed of lightweight statistical models like fastText.
Refers to natural human languages (e.g., English, Mandarin) rather than programming languages or code syntax.
"An automated mail sorter at an international post office that scans the script on an envelope to route it to the correct regional delivery bin."
- Cross-Lingual Information Retrieval (CLIR)(Extension)
- Semantic Routing(Component)
- Tokenization(Prerequisite)
Conceptual Overview
The process of identifying the natural language of a user prompt or source document to select the appropriate embedding model, translation layer, or localized vector index; architectural trade-offs involve balancing the high accuracy/high latency of LLM-based detection against the speed of lightweight statistical models like fastText.
Disambiguation
Refers to natural human languages (e.g., English, Mandarin) rather than programming languages or code syntax.
Visual Analog
An automated mail sorter at an international post office that scans the script on an envelope to route it to the correct regional delivery bin.