{"id":5520,"library":"tinysegmenter","title":"TinySegmenter","description":"TinySegmenter in Python is a Python port of the original JavaScript-based TinySegmenter, an extremely compact (23KB) Japanese tokenizer. It offers character-based segmentation with approximately 95% precision for Japanese news articles, compatible with MeCab + IPADic segmentation units, without relying on external dictionaries. The latest version, 0.4, was released on September 16, 2018, and its development is not actively maintained, though contributions are welcome.","status":"maintenance","version":"0.4","language":"en","source_language":"en","source_url":"http://git.tuxfamily.org/tinysegmente/tinysegmenter/","tags":["Japanese","tokenizer","NLP","segmentation","compact"],"install":[{"cmd":"pip install tinysegmenter","lang":"bash","label":"Install with pip"}],"dependencies":[],"imports":[{"note":"The class is directly available under the 'tinysegmenter' module, not a nested submodule.","wrong":"import tinysegmenter; segmenter = tinysegmenter.segmenter.TinySegmenter()","symbol":"TinySegmenter","correct":"from tinysegmenter import TinySegmenter"}],"quickstart":{"code":"import tinysegmenter\n\nsegmenter = tinysegmenter.TinySegmenter()\ntext = \"私の名前は中野です\"\ntokens = segmenter.tokenize(text)\nprint(' | '.join(tokens))\n# Expected output: 私 | の | 名前 | は | 中野 | です","lang":"python","description":"Initialize the TinySegmenter and tokenize a Japanese string into a list of words."},"warnings":[{"fix":"Be aware of the project's maintenance status. For active development or critical projects, consider forks like 'tinysegmenter3' or more actively maintained Japanese tokenizers.","message":"The project is explicitly stated by its maintainer as not being actively developed, with limited maintenance. New features or rapid bug fixes are unlikely.","severity":"gotcha","affected_versions":"0.4 and later (if any)"},{"fix":"For higher accuracy or performance requirements, evaluate alternative Japanese tokenizers such as MeCab, Sudachi, or Janome. Benchmarking with your specific data is recommended.","message":"As a 'very compact' tokenizer, TinySegmenter makes trade-offs in accuracy and performance compared to larger, more sophisticated Japanese NLP libraries. While suitable for lightweight tasks, it might not offer the highest precision or speed for complex or large-scale Japanese text processing.","severity":"gotcha","affected_versions":"All versions"},{"fix":"If working with Python 3, especially for performance-sensitive applications, consider using `tinysegmenter3` (`pip install tinysegmenter3`) or another Python 3 native Japanese tokenizer for potentially better results.","message":"Although the `tinysegmenter` 0.4 package states compatibility with Python 3, a prominent fork named `tinysegmenter3` exists specifically to provide improved Python 3 compatibility and enhanced performance. This implies that the original `tinysegmenter` might not be fully optimized or as robust for modern Python 3 environments as its dedicated Python 3 fork.","severity":"gotcha","affected_versions":"0.4 on Python 3.x"}],"env_vars":null,"last_verified":"2026-04-13T00:00:00.000Z","next_check":"2026-07-12T00:00:00.000Z"}