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A text analysis toolkit KyTea binding

Project description

KyTea wrapper for Python

PyPI version

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

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

Installation

Install Mykytea-python via pip

You can install Mykytea-python via pip.

pip install kytea

You don't have to install KyTea anymore before installing Mykytea-python when you install it by using wheel on PyPI.

You should have any KyTea model on your machine.

Build Mykytea-python from source

If you want to build from source, you need to install KyTea.

Then, run

make

After make, you can install Mykytea-python by running

make install

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

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

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

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

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

Or, you use macOS and Homebrew, you can use KYTEA_DIR to pass the directory of KyTea.

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

How to use it?

Here is the example code to use Mykytea-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

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