Metadata-Version: 2.4
Name: rhoknp
Version: 1.8.0
Summary: Yet another Python binding for Juman++/KNP/KWJA
Keywords: NLP,Japanese,Juman++,KNP,KWJA
Author: Hirokazu Kiyomaru, Nobuhiro Ueda
Author-email: Hirokazu Kiyomaru <h.kiyomaru@gmail.com>, Nobuhiro Ueda <ueda@nlp.i.kyoto-u.ac.jp>
License-Expression: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: Japanese
Classifier: Operating System :: MacOS
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing
Classifier: Topic :: Text Processing :: Linguistic
Requires-Dist: typing-extensions>=4.4 ; python_full_version < '3.12'
Requires-Dist: typer-slim>=0.18.0 ; extra == 'cli'
Requires-Dist: pyyaml>=6.0 ; extra == 'cli'
Requires-Dist: rich>=12.6 ; extra == 'cli'
Requires-Dist: uvicorn>=0.30.0 ; extra == 'cli'
Requires-Dist: fastapi>=0.111.0 ; extra == 'cli'
Requires-Dist: jinja2>=3.1.4 ; extra == 'cli'
Requires-Dist: pygments>=2.18.0 ; extra == 'cli'
Maintainer: Hirokazu Kiyomaru, Nobuhiro Ueda
Maintainer-email: Hirokazu Kiyomaru <h.kiyomaru@gmail.com>, Nobuhiro Ueda <ueda@nlp.i.kyoto-u.ac.jp>
Requires-Python: >=3.10
Project-URL: Documentation, https://rhoknp.readthedocs.io/en/latest
Project-URL: Homepage, https://github.com/ku-nlp/rhoknp
Project-URL: Issues, https://github.com/ku-nlp/rhoknp/issues
Project-URL: Repository, https://github.com/ku-nlp/rhoknp
Provides-Extra: cli
Description-Content-Type: text/markdown

<p align="center">
<a href="https://rhoknp.readthedocs.io/en/latest/" rel="noopener" target="_blank">
<img width="150" src="https://raw.githubusercontent.com/ku-nlp/rhoknp/develop/docs/_static/logo.png" alt="rhoknp logo">
</a>
</p>

<h1 align="center">rhoknp: Yet another Python binding for Juman++/KNP/KWJA</h1>

<p align="center">
<a href="https://github.com/ku-nlp/rhoknp/actions/workflows/test.yml"><img alt="Test" src="https://img.shields.io/github/actions/workflow/status/ku-nlp/rhoknp/test.yml?branch=main&logo=github&label=test&style=flat-square"></a>
<a href="https://codecov.io/gh/ku-nlp/rhoknp"><img alt="Codecov" src="https://img.shields.io/codecov/c/github/ku-nlp/rhoknp?logo=codecov&style=flat-square"></a>
<a href="https://www.codefactor.io/repository/github/ku-nlp/rhoknp"><img alt="CodeFactor" src="https://img.shields.io/codefactor/grade/github/ku-nlp/rhoknp?style=flat-square"></a>
<a href="https://pypi.org/project/rhoknp/"><img alt="PyPI" src="https://img.shields.io/pypi/v/rhoknp?style=flat-square"></a>
<a href="https://pypi.org/project/rhoknp/"><img alt="PyPI - Python Version" src="https://img.shields.io/pypi/pyversions/rhoknp?style=flat-square">
<a href="https://rhoknp.readthedocs.io/en/latest/"><img alt="Documentation" src="https://img.shields.io/readthedocs/rhoknp?style=flat-square"></a>
<a href="https://github.com/astral-sh/ruff"><img src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json&style=flat-square" alt="Ruff" style="max-width:100%;"></a>
</p>

---

**Documentation**: [https://rhoknp.readthedocs.io/en/latest/](https://rhoknp.readthedocs.io/en/latest/)

**Source Code**: [https://github.com/ku-nlp/rhoknp](https://github.com/ku-nlp/rhoknp)

---

_rhoknp_ is a Python binding for [Juman++](https://github.com/ku-nlp/jumanpp), [KNP](https://github.com/ku-nlp/knp), and [KWJA](https://github.com/ku-nlp/kwja).[^1]

[^1]: The logo was generated by OpenAI DALL·E 2.

```python
import rhoknp

# Perform morphological analysis by Juman++
jumanpp = rhoknp.Jumanpp()
sentence = jumanpp.apply_to_sentence(
    "電気抵抗率は電気の通しにくさを表す物性値である。"
)

# Access to the result
for morpheme in sentence.morphemes:  # a.k.a. keitai-so
    ...

# Save the result
with open("result.jumanpp", "wt") as f:
    f.write(sentence.to_jumanpp())

# Load the result
with open("result.jumanpp", "rt") as f:
    sentence = rhoknp.Sentence.from_jumanpp(f.read())
```

## Requirements

- Python 3.10+
- (Optional) [Juman++](https://github.com/ku-nlp/jumanpp) v2.0.0-rc3+
- (Optional) [KNP](https://github.com/ku-nlp/knp) 5.0+
- (Optional) [KWJA](https://github.com/ku-nlp/kwja) 1.0.0+

## Installation

```shell
pip install rhoknp
```

## Quick tour

Let's begin by using Juman++ with rhoknp.
Here, we present a simple example demonstrating how Juman++ can be used to analyze a sentence.

```python
# Perform morphological analysis by Juman++
jumanpp = rhoknp.Jumanpp()
sentence = jumanpp.apply_to_sentence("電気抵抗率は電気の通しにくさを表す物性値である。")
```

You can easily access the individual morphemes that make up the sentence.

```python
for morpheme in sentence.morphemes:  # a.k.a. keitai-so
    ...
```

Sentence objects can be saved in the JUMAN format.

```python
# Save the sentence in the JUMAN format
with open("sentence.jumanpp", "wt") as f:
    f.write(sentence.to_jumanpp())

# Load the sentence
with open("sentence.jumanpp", "rt") as f:
    sentence = rhoknp.Sentence.from_jumanpp(f.read())
```

Almost the same APIs are available for KNP.

```python
# Perform language analysis by KNP
knp = rhoknp.KNP()
sentence = knp.apply_to_sentence("電気抵抗率は電気の通しにくさを表す物性値である。")
```

KNP performs language analysis at multiple levels.

```python
for clause in sentence.clauses:  # a.k.a., setsu
    ...
for phrase in sentence.phrases:  # a.k.a. bunsetsu
    ...
for base_phrase in sentence.base_phrases:  # a.k.a. kihon-ku
    ...
for morpheme in sentence.morphemes:  # a.k.a. keitai-so
    ...
```

Sentence objects can be saved in the KNP format.

```python
# Save the sentence in the KNP format
with open("sentence.knp", "wt") as f:
    f.write(sentence.to_knp())

# Load the sentence
with open("sentence.knp", "rt") as f:
    sentence = rhoknp.Sentence.from_knp(f.read())
```

Furthermore, rhoknp provides convenient APIs for document-level language analysis.

```python
document = rhoknp.Document.from_raw_text(
    "電気抵抗率は電気の通しにくさを表す物性値である。単に抵抗率とも呼ばれる。"
)
# If you know sentence boundaries, you can use `Document.from_sentences` instead.
document = rhoknp.Document.from_sentences(
    [
        "電気抵抗率は電気の通しにくさを表す物性値である。",
        "単に抵抗率とも呼ばれる。",
    ]
)
```

Document objects can be handled in a similar manner as Sentence objects.

```python
# Perform morphological analysis by Juman++
document = jumanpp.apply_to_document(document)

# Access language units in the document
for sentence in document.sentences:
    ...
for morpheme in document.morphemes:
    ...

# Save language analysis by Juman++
with open("document.jumanpp", "wt") as f:
    f.write(document.to_jumanpp())

# Load language analysis by Juman++
with open("document.jumanpp", "rt") as f:
    document = rhoknp.Document.from_jumanpp(f.read())
```

For more information, please refer to the [examples](./examples) and [documentation](https://rhoknp.readthedocs.io/en/latest/).

## Main differences from [pyknp](https://github.com/ku-nlp/pyknp/)

[_pyknp_](https://pypi.org/project/pyknp/) serves as the official Python binding for Juman++ and KNP.
In the development of rhoknp, we redesigned the API, considering the current use cases of pyknp.
The key differences between the two are as follows:

- **Support for document-level language analysis**: rhoknp allows you to load and instantiate the results of document-level language analysis, including cohesion analysis and discourse relation analysis.
- **Strict type-awareness**: rhoknp has been thoroughly annotated with type annotations, ensuring strict type checking and improved code clarity.
- **Comprehensive test suite**: rhoknp is extensively tested with a comprehensive test suite. You can view the code coverage report on [Codecov](https://app.codecov.io/gh/ku-nlp/rhoknp).

## License

MIT

## Contributing

We warmly welcome contributions to rhoknp.
You can get started by reading the [contribution guide](https://rhoknp.readthedocs.io/en/latest/contributing/index.html).

## Reference

- [KNP FORMAT](http://cr.fvcrc.i.nagoya-u.ac.jp/~sasano/knp/format.html)
- [KNP - KUROHASHI-CHU-MURAWAKI LAB](https://nlp.ist.i.kyoto-u.ac.jp/?KNP)
