kagome
A self-contained Japanese morphological analyzer written in pure Go, tokenizing text into words and analyzing parts of speech.
What is kagome?
Kagome is an open-source Japanese morphological analyzer written in pure Go. It segments Japanese text into words and performs part-of-speech tagging, providing accurate linguistic analysis essential for natural language processing tasks like search indexing, text analysis, and language learning tools.
Developers and researchers working on Japanese natural language processing (NLP) applications, such as search engines, text analysis tools, language learning platforms, and linguistic research software.
Developers choose Kagome for its self-contained binaries with embedded dictionaries, eliminating external dependencies, and its versatility with multiple deployment options including a RESTful API server, WebAssembly for browsers, and FFI support for integration with languages like Python and PHP.
Overview
Self-contained Japanese Morphological Analyzer written in pure Go
Use Cases
Best For
- Building Japanese search engines that require optimized tokenization with search or extended segmentation modes.
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