semvec/pypi-packages huggingface dataset:
kytea 0.1.9
A text analysis toolkit KyTea binding
License: MIT license
Keywords: KyTea,NLP,Japanese morphological analyzer

# KyTea wrapper for python

[![Patreon](https://img.shields.io/badge/patreon-donate-orange.svg)](https://www.patreon.com/chezou)

Mykytea-python is a python wrapper module for KyTea, a general text analysis toolkit.
KyTea is developed by KyTea Development Team.

Detailed information of KyTea can be found at
http://www.phontron.com/kytea

## Install Dependencies

You need to install KyTea before build.

## To install Mykytea-python, run

```sn
pip install kytea
```

## To build Mykytea-python, run (if you don't want to use `pip`)

```sh
make
```

If you want to install, run

```sh
sudo make install
```

If you fail to make, please try to install SWIG and run

```sh
swig -c++ -python -I/usr/local/include mykytea.i
```

Or if you still fail on Max OS X, run with some variables

```sh
$ ARCHFLAGS="-arch x86_64" CC=gcc CXX=g++ make
```

If you compiled kytea with clang, you need ARCHFLAGS only.

Or, you can use brew to install kytea.

```sh
brew install kytea
KYTEA_DIR=$(brew --prefix) make all
```

## How to use it?

Here is the example code to use Mykytea-python.

```python
import Mykytea

def showTags(t):
    for word in t:
        out = word.surface + "\t"
        for t1 in word.tag:
            for t2 in t1:
                for t3 in t2:
                    out = out + "/" + str(t3)
                out += "\t"
            out += "\t"
        print(out)

def list_tags(t):
    def convert(t2):
        return (t2[0], type(t2[1]))
    return [(word.surface, [[convert(t2) for t2 in t1] for t1 in word.tag]) for word in t]

# Pass arguments for KyTea as the following:
opt = "-model /usr/local/share/kytea/model.bin"
mk = Mykytea.Mykytea(opt)

s = "今日はいい天気です。"

# Fetch segmented words
for word in mk.getWS(s):
    print(word)

# Show analysis results
print(mk.getTagsToString(s))

# Fetch first best tag
t = mk.getTags(s)
showTags(t)

# Show all tags
tt = mk.getAllTags(s)
showTags(tt)
```

## License

MIT License