ginza

library5.2.0pypypiunverified

GiNZA is an open-source Japanese NLP library based on Universal Dependencies, providing tokenization, part-of-speech tagging, dependency parsing, named entity recognition, and sentence segmentation. The current version (5.2.0) requires Python >=3.8 and is released via GitHub (megagonlabs/ginza) and PyPI. It uses the spaCy pipeline internally and offers a robust model for Japanese text processing.

ai-ml

pip install ginza

github ↗homepage ↗

INSTALL

IMPORT

SIG · GINZA

ginza

ai-mlpythonv5.2.0

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

nlp

✓ import ginza

✗ import spacy

nlp

✓ from ginza import *

✗ import spacy

Load the GiNZA model via spaCy and process Japanese text.

import spacy nlp = spacy.load('ja_ginza') doc = nlp('私は元気です。') for sent in doc.sents: print(sent.text) for token in doc: print(token.text, token.pos_, token.dep_, token.lemma_)

Debug

Known issues

breakingIn v5.0+, the import path changed: you must use `spacy.load('ja_ginza')` instead of `import ginza` or `ginza.load()`. Old code will raise ImportError.

fix

Replace `import ginza` with `import spacy; nlp = spacy.load('ja_ginza')`.

affects: >=5.0

gotchaGiNZA models are not automatically downloaded via pip; you must run `python -m spacy download ja_ginza` after pip install to download the pretrained pipeline.

fix

Run `python -m spacy download ja_ginza` after installing the ginza package.

affects: All

deprecatedThe `set_export` function from older versions (pre-5.0) is deprecated and removed. Use spaCy's built-in serialization (nlp.to_disk / nlp.from_disk) instead.

fix

Use `nlp.to_disk('path')` and `nlp.from_disk('path')` to save/load models.

affects: <5.0

Upgrade

Version history

5.2.0latest on PyPI · released Mar 30, 2024

Audit

Dependencies

spacy>=3.0requiredGiNZA is built as a spaCy pipeline package; requires spaCy to load and use the model.

ginza-phrasingoptionalOptional package for phrase-level parsing utilities.

Agent activity

19 hits · last 30 days

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Amazon

OpenAI (training)

Resources

githubhttps://github.com/megagonlabs/ginza ↗

homepagehttps://github.com/megagonlabs/ginza ↗