{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/5"},{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/2"},{"label":"Linguistic","url":"https://skillfed.io/packages/category/text-processing-linguistic/2"}],"enrichment":{"capability":"TinySegmenter is a compact Japanese tokenizer that breaks Japanese text into morphological tokens without requiring external dictionaries or machine learning models.","skillfed_tags":["japanese-nlp","tokenization","abandoned"],"use_cases":["Segment Japanese text into tokens for search indexing or keyword extraction in a lightweight application.","Tokenize Japanese user input for simple text analysis or filtering without pulling in heavy NLP dependencies.","Use as a baseline tokenizer in NLTK pipelines by subclassing both TinySegmenter and NLTK's TokenizerI interface.","Process Japanese text in resource-constrained environments where dictionary-based or neural tokenizers are too heavy."],"what_it_does":"TinySegmenter is a Python port of a compact Japanese tokenizer originally written in JavaScript. It segments Japanese text into individual morphological units (words, particles, suffixes) without requiring a dictionary or machine learning model, making it extremely lightweight and fast. The library exposes a simple API: instantiate a TinySegmenter object and call its tokenize() method on a Unicode string to get a list of tokens.\n\nThe package is designed for straightforward Japanese text processing tasks where you need basic word segmentation without the overhead of larger NLP frameworks. It has no runtime dependencies and works as a standalone module. However, the project is abandoned\u2014the last release was in 2018 and there is no active maintenance, so you should expect no bug fixes or updates.","worth_installing":"No, unless you have a specific, narrow need for a lightweight Japanese tokenizer and can tolerate an abandoned codebase. The package has not been maintained since 2018, and there is no guarantee it will work correctly with modern Python versions or character sets. For active projects, consider a maintained alternative like MeCab, Janome, or a modern NLP library."},"id":"tinysegmenter","links":{"html":"https://skillfed.io/packages/tinysegmenter","md":"https://skillfed.io/packages/tinysegmenter.md","pypi":"https://pypi.org/project/tinysegmenter/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2018-09-16","license_spdx":null,"license_treatment":"permissive","name":"tinysegmenter","python_support":"unspecified","summary":"Very compact Japanese tokenizer"},"popularity":{"monthly_downloads":510066,"position":6269,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.4"}