Parse Query TKGM

Parse Query TKGM is a domain-focused parsing tool that converts natural language queries into structured components usable by data pipelines, search interfaces, and analytics workflows. It is designed for developers, data engineers, SEO analysts, and product teams who ingest user queries and need deterministic outputs.

Conceptually, the tool performs language detection, tokenization, entity extraction, and intent classification, then maps results to a predefined schema. It outputs a machine-readable object with fields such as intent, entities, filters, and operators, plus a confidence score. It supports Turkish and English inputs and can emit JSON or a normalized key-value payload.

Key differentiators include configurable output schemas, localization-aware parsing, and a focus on stability and predictability. It enables strict schema mapping (required fields) while offering optional extensions such as confidence scoring, multi-language support, and custom mappings to domain taxonomies. It is designed for integration into data ingestion pipelines, analytics dashboards, and conversational interfaces.

Core features include input normalization, language-aware parsing, schema mapping, confidence scoring, and export options. Use cases cover search query understanding, data extraction workflows, chatbot intent routing, and analytics segmentation. The tool emphasizes deterministic outputs, auditability, and easy integration with existing back-end services.