Nori Korean Text Analyzer

The Nori Korean Text Analyzer processes Korean input to produce a structured token stream. It tokenizes text into morphemes and assigns surface forms, lemmas, POS tags, and morphology features per token, enabling consistent preprocessing for NLP pipelines and search indexing. Conceptually, it relies on a dictionary-driven decomposition of words into base forms and affixes, with fallback rules for unknown terms. The tool is designed for data scientists, search engineers, and researchers who require language-aware representations of Korean corpora to improve query understanding, normalization, and downstream analytics. Outputs are suitable for downstream ingestion into search engines or data stores, where tokens and lemmas enhance match quality and linguistic precision. Advanced usage can include custom dictionaries and multiple dictionary versions to reflect domain-specific vocabulary. The approach emphasizes deterministic results, reproducibility across runs, and compatibility with OpenSearch/Elasticsearch ecosystems. The tool supports UTF-8 input and ko-KR locale conventions, ensuring broad interoperability across Korean-language datasets and applications. Overall, its value lies in providing a reliable, structured, and extensible foundation for Korean language processing without performing translation or sentiment tasks by default, making it ideal for indexing, analytics, and research workflows.