MTK Extractor

MTK Extractor v2 is a domain-focused data tool that converts raw MTK text into structured tokens with metadata for analytics. It processes multilingual sources, applying language-aware tokenization and MTK-specific patterns to produce token counts, segment-level groupings, and optional co-occurrence metrics. Conceptually, the tool treats raw text as a stream of MTK tokens and derives meaningful signals such as frequency and context. This enables teams to quantify coverage, compare language variants, and prepare data for downstream NLP models or localization pipelines. Core features include configurable language-aware tokenization, top-k extraction, flexible input formats, and export options to JSON or CSV for integration into data workflows. Use cases span MTK dictionary analysis, multilingual corpus audits, and quality assurance in localization projects. The tool differentiates itself by supporting Unicode-friendly token definitions, explicit MTK pattern customization, and straightforward export schemas that integrate with existing analytics stacks. Advanced users can enable streaming processing, custom regex-based patterns, and language-specific normalization to handle CJK or Latin scripts with minimal pre-processing. Outputs are designed for programmatic consumption, enabling reproducible experiments and scalable data prep.