KoichiYasuoka/esupar

Tokenizer POS-Tagger and Dependency-parser with BERT/RoBERTa/DeBERTa/GPT models for Japanese and other languages

55
/ 100
Established

This tool helps analyze the structure of sentences in languages like Japanese, Korean, Chinese, and English. You input text, and it breaks down sentences into individual words or units, identifies each word's part of speech (like noun, verb, or adjective), and shows how words relate to each other grammatically. This is ideal for linguists, natural language processing researchers, or anyone needing detailed grammatical analysis of text.

Used by 1 other package. Available on PyPI.

Use this if you need to deeply understand the grammatical structure of sentences in various languages, going beyond simple word counting to uncover relationships between words and their functions.

Not ideal if you only need basic keyword extraction or sentiment analysis without requiring a full grammatical breakdown of sentences.

linguistics text analysis grammar research natural language processing computational philology
Maintenance 10 / 25
Adoption 9 / 25
Maturity 25 / 25
Community 11 / 25

How are scores calculated?

Stars

55

Forks

6

Language

Python

License

MIT

Last pushed

Feb 28, 2026

Commits (30d)

0

Dependencies

4

Reverse dependents

1

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