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https://github.com/WorksApplications/SudachiPy

Python version of Sudachi, a Japanese tokenizer.
https://github.com/WorksApplications/SudachiPy

morphological-analysis nlp-library pos-tagging segmentation

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Python version of Sudachi, a Japanese tokenizer.

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README

        

# SudachiPy
[![PyPi version](https://img.shields.io/pypi/v/sudachipy.svg)](https://pypi.python.org/pypi/sudachipy/)
[![](https://img.shields.io/badge/python-3.5+-blue.svg)](https://www.python.org/downloads/release/python-350/)
[![Build Status](https://github.com/WorksApplications/SudachiPy/actions/workflows/build.yml/badge.svg)](https://github.com/WorksApplications/SudachiPy/actions/workflows/build.yml)
[![](https://img.shields.io/github/license/WorksApplications/SudachiPy.svg)](https://github.com/WorksApplications/SudachiPy/blob/develop/LICENSE)

[日本語](/docs/tutorial.md)

SudachiPy is a Python version of [Sudachi](https://github.com/WorksApplications/Sudachi), a Japanese morphological analyzer.

## Warning

This repository is for 0.5.* version of SudachiPy, 0.6* and above are developed as [Sudachi.rs](https://github.com/WorksApplications/sudachi.rs).

## TL;DR

```bash
$ pip install sudachipy sudachidict_core

$ echo "高輪ゲートウェイ駅" | sudachipy
高輪ゲートウェイ駅 名詞,固有名詞,一般,*,*,* 高輪ゲートウェイ駅
EOS

$ echo "高輪ゲートウェイ駅" | sudachipy -m A
高輪 名詞,固有名詞,地名,一般,*,* 高輪
ゲートウェイ 名詞,普通名詞,一般,*,*,* ゲートウェー
駅 名詞,普通名詞,一般,*,*,* 駅
EOS

$ echo "空缶空罐空きカン" | sudachipy -a
空缶 名詞,普通名詞,一般,*,*,* 空き缶 空缶 アキカン 0
空罐 名詞,普通名詞,一般,*,*,* 空き缶 空罐 アキカン 0
空きカン 名詞,普通名詞,一般,*,*,* 空き缶 空きカン アキカン 0
EOS
```

## Setup

You need SudachiPy and a dictionary.

### Step 1. Install SudachiPy

```bash
$ pip install sudachipy
```

### Step 2. Get a Dictionary

You can get dictionary as a Python package. It make take a while to download the dictionary file (around 70MB for the `core` edition).

```bash
$ pip install sudachidict_core
```

Alternatively, you can choose other dictionary editions. See [this section](#dictionary-edition) for the detail.

## Usage: As a command

There is a CLI command `sudachipy`.

```bash
$ echo "外国人参政権" | sudachipy
外国人参政権 名詞,普通名詞,一般,*,*,* 外国人参政権
EOS
$ echo "外国人参政権" | sudachipy -m A
外国 名詞,普通名詞,一般,*,*,* 外国
人 接尾辞,名詞的,一般,*,*,* 人
参政 名詞,普通名詞,一般,*,*,* 参政
権 接尾辞,名詞的,一般,*,*,* 権
EOS
```

```bash
$ sudachipy tokenize -h
usage: sudachipy tokenize [-h] [-r file] [-m {A,B,C}] [-o file] [-s string]
[-a] [-d] [-v]
[file [file ...]]

Tokenize Text

positional arguments:
file text written in utf-8

optional arguments:
-h, --help show this help message and exit
-r file the setting file in JSON format
-m {A,B,C} the mode of splitting
-o file the output file
-s string sudachidict type
-a print all of the fields
-d print the debug information
-v, --version print sudachipy version
```

### Output

Columns are tab separated.

- Surface
- Part-of-Speech Tags (comma separated)
- Normalized Form

When you add the `-a` option, it additionally outputs

- Dictionary Form
- Reading Form
- Dictionary ID
- `0` for the system dictionary
- `1` and above for the [user dictionaries](#user-dictionary)
- `-1\t(OOV)` if a word is Out-of-Vocabulary (not in the dictionary)

```bash
$ echo "外国人参政権" | sudachipy -a
外国人参政権 名詞,普通名詞,一般,*,*,* 外国人参政権 外国人参政権 ガイコクジンサンセイケン 0
EOS
```

```bash
echo "阿quei" | sudachipy -a
阿 名詞,普通名詞,一般,*,*,* 阿 阿 -1 (OOV)
quei 名詞,普通名詞,一般,*,*,* quei quei -1 (OOV)
EOS
```

## Usage: As a Python package

Here is an example;

```python
from sudachipy import tokenizer
from sudachipy import dictionary

tokenizer_obj = dictionary.Dictionary().create()
```

```python
# Multi-granular Tokenization

mode = tokenizer.Tokenizer.SplitMode.C
[m.surface() for m in tokenizer_obj.tokenize("国家公務員", mode)]
# => ['国家公務員']

mode = tokenizer.Tokenizer.SplitMode.B
[m.surface() for m in tokenizer_obj.tokenize("国家公務員", mode)]
# => ['国家', '公務員']

mode = tokenizer.Tokenizer.SplitMode.A
[m.surface() for m in tokenizer_obj.tokenize("国家公務員", mode)]
# => ['国家', '公務', '員']
```

```python
# Morpheme information

m = tokenizer_obj.tokenize("食べ", mode)[0]

m.surface() # => '食べ'
m.dictionary_form() # => '食べる'
m.reading_form() # => 'タベ'
m.part_of_speech() # => ['動詞', '一般', '*', '*', '下一段-バ行', '連用形-一般']
```

```python
# Normalization

tokenizer_obj.tokenize("附属", mode)[0].normalized_form()
# => '付属'
tokenizer_obj.tokenize("SUMMER", mode)[0].normalized_form()
# => 'サマー'
tokenizer_obj.tokenize("シュミレーション", mode)[0].normalized_form()
# => 'シミュレーション'
```

(With `20200330` `core` dictionary. The results may change when you use other versions)

## Dictionary Edition

**WARNING: `sudachipy link` is no longer available in SudachiPy v0.5.2 and later. **

There are three editions of Sudachi Dictionary, namely, `small`, `core`, and `full`. See [WorksApplications/SudachiDict](https://github.com/WorksApplications/SudachiDict) for the detail.

SudachiPy uses `sudachidict_core` by default.

Dictionaries are installed as Python packages `sudachidict_small`, `sudachidict_core`, and `sudachidict_full`.

* [SudachiDict-small · PyPI](https://pypi.org/project/SudachiDict-small/)
* [SudachiDict-core · PyPI](https://pypi.org/project/SudachiDict-core/)
* [SudachiDict-full · PyPI](https://pypi.org/project/SudachiDict-full/)

The dictionary files are not in the package itself, but it is downloaded upon installation.

### Dictionary option: command line

You can specify the dictionary with the tokenize option `-s`.

```bash
$ pip install sudachidict_small
$ echo "外国人参政権" | sudachipy -s small
```

```bash
$ pip install sudachidict_full
$ echo "外国人参政権" | sudachipy -s full
```

### Dictionary option: Python package

You can specify the dictionary with the `Dicionary()` argument; `config_path` or `dict_type`.

```python
class Dictionary(config_path=None, resource_dir=None, dict_type=None)
```

1. `config_path`
* You can specify the file path to the setting file with `config_path` (See [Dictionary in The Setting File](#Dictionary in The Setting File) for the detail).
* If the dictionary file is specified in the setting file as `systemDict`, SudachiPy will use the dictionary.
2. `dict_type`
* You can also specify the dictionary type with `dict_type`.
* The available arguments are `small`, `core`, or `full`.
* If different dictionaries are specified with `config_path` and `dict_type`, **a dictionary defined `dict_type` overrides** those defined in the config path.

```python
from sudachipy import tokenizer
from sudachipy import dictionary

# default: sudachidict_core
tokenizer_obj = dictionary.Dictionary().create()

# The dictionary given by the `systemDict` key in the config file (/path/to/sudachi.json) will be used
tokenizer_obj = dictionary.Dictionary(config_path="/path/to/sudachi.json").create()

# The dictionary specified by `dict_type` will be set.
tokenizer_obj = dictionary.Dictionary(dict_type="core").create() # sudachidict_core (same as default)
tokenizer_obj = dictionary.Dictionary(dict_type="small").create() # sudachidict_small
tokenizer_obj = dictionary.Dictionary(dict_type="full").create() # sudachidict_full

# The dictionary specified by `dict_type` overrides those defined in the config path.
# In the following code, `sudachidict_full` will be used regardless of a dictionary defined in the config file.
tokenizer_obj = dictionary.Dictionary(config_path="/path/to/sudachi.json", dict_type="full").create()
```

### Dictionary in The Setting File

Alternatively, if the dictionary file is specified in the setting file, `sudachi.json`, SudachiPy will use that file.

```
{
"systemDict" : "relative/path/to/system.dic",
...
}
```

The default setting file is [sudachipy/resources/sudachi.json](https://github.com/WorksApplications/SudachiPy/blob/develop/sudachipy/resources/sudachi.json). You can specify your `sudachi.json` with the `-r` option.

```bash
$ sudachipy -r path/to/sudachi.json
```

## User Dictionary

To use a user dictionary, `user.dic`, place [sudachi.json](https://github.com/WorksApplications/SudachiPy/blob/develop/sudachipy/resources/sudachi.json) to anywhere you like, and add `userDict` value with the relative path from `sudachi.json` to your `user.dic`.

```js
{
"userDict" : ["relative/path/to/user.dic"],
...
}
```

Then specify your `sudachi.json` with the `-r` option.

```bash
$ sudachipy -r path/to/sudachi.json
```

You can build a user dictionary with the subcommand `ubuild`.

**WARNING: v0.3.\* ubuild contains bug.**

```bash
$ sudachipy ubuild -h
usage: sudachipy ubuild [-h] [-d string] [-o file] [-s file] file [file ...]

Build User Dictionary

positional arguments:
file source files with CSV format (one or more)

optional arguments:
-h, --help show this help message and exit
-d string description comment to be embedded on dictionary
-o file output file (default: user.dic)
-s file system dictionary path (default: system core dictionary path)
```

About the dictionary file format, please refer to [this document](https://github.com/WorksApplications/Sudachi/blob/develop/docs/user_dict.md) (written in Japanese, English version is not available yet).

## Customized System Dictionary

```bash
$ sudachipy build -h
usage: sudachipy build [-h] [-o file] [-d string] -m file file [file ...]

Build Sudachi Dictionary

positional arguments:
file source files with CSV format (one of more)

optional arguments:
-h, --help show this help message and exit
-o file output file (default: system.dic)
-d string description comment to be embedded on dictionary

required named arguments:
-m file connection matrix file with MeCab's matrix.def format
```

To use your customized `system.dic`, place [sudachi.json](https://github.com/WorksApplications/SudachiPy/blob/develop/sudachipy/resources/sudachi.json) to anywhere you like, and overwrite `systemDict` value with the relative path from `sudachi.json` to your `system.dic`.

```
{
"systemDict" : "relative/path/to/system.dic",
...
}
```

Then specify your `sudachi.json` with the `-r` option.

```bash
$ sudachipy -r path/to/sudachi.json
```

## For Developers

### Cython Build

```sh
$ python setup.py build_ext --inplace
```

### Code Format

Run `scripts/format.sh` to check if your code is formatted correctly.

You need packages `flake8` `flake8-import-order` `flake8-buitins` (See `requirements.txt`).

### Test

Run `scripts/test.sh` to run the tests.

## Contact

Sudachi and SudachiPy are developed by [WAP Tokushima Laboratory of AI and NLP](http://nlp.worksap.co.jp/).

Open an issue, or come to our Slack workspace for questions and discussion.

https://sudachi-dev.slack.com/ (Get invitation [here](https://join.slack.com/t/sudachi-dev/shared_invite/enQtMzg2NTI2NjYxNTUyLTMyYmNkZWQ0Y2E5NmQxMTI3ZGM3NDU0NzU4NGE1Y2UwYTVmNTViYjJmNDI0MWZiYTg4ODNmMzgxYTQ3ZmI2OWU))

Enjoy tokenization!