python-mecab-ko 1.2.8

A python binding for mecab-ko

python-mecab-ko

A python binding for mecab-ko

Installation

Using pip:

$ pip install python-mecab-ko

This library currently provides binary wheels on Linux and macOS platforms. If you are using other platforms, you need the following prerequisites to build from source:

• C++14 compatible compiler
• Python header files
• mecab-ko
  • This repository provides a convenience script at scripts/install_mecab_ko.py to install mecab-ko

Usage

import mecab
mecab = mecab.MeCab()

mecab.morphs('영등포구청역에 있는 맛집 좀 알려주세요.')
# ['영등포구청역', '에', '있', '는', '맛집', '좀', '알려', '주', '세요', '.']

mecab.nouns('우리나라에는 무릎 치료를 잘하는 정형외과가 없는가!')
# ['우리', '나라', '무릎', '치료', '정형외과']

mecab.pos('자연주의 쇼핑몰은 어떤 곳인가?')
# [('자연주의', 'NNG'), ('쇼핑몰', 'NNG'), ('은', 'JX'), ('어떤', 'MM'), ('곳', 'NNG'), ('인가', 'VCP+EF'), ('?', 'SF')]

mecab.parse('즐거운 하루 보내세요!')
# [
#     ('즐거운', Feature(
#         pos='VA+ETM', semantic=None, has_jongseong=True, reading='즐거운',
#         type='Inflect', start_pos='VA', end_pos='ETM',
#         expression='즐겁/VA/*+ᆫ/ETM/*')),
#     ('하루', Feature(
#         pos='NNG', semantic=None, has_jongseong=False, reading='하루',
#         type=None, start_pos=None, end_pos=None,
#         expression=None)),
#     ('보내', Feature(
#         pos='VV', semantic=None, has_jongseong=False, reading='보내',
#         type=None, start_pos=None, end_pos=None,
#         expression=None)),
#     ('세요', Feature(
#         pos='EP+EF', semantic=None, has_jongseong=False, reading='세요',
#         type='Inflect', start_pos='EP', end_pos='EF',
#         expression='시/EP/*+어요/EF/*')),
#     ('!', Feature(
#         pos='SF', semantic=None, has_jongseong=None, reading=None,
#         type=None, start_pos=None, end_pos=None,
#         expression=None))
# ]

CLI

The library also provides a proxy for several command-line interfaces provided by mecab. These interfaces can be used to add vocabulary to a user dictonary.

• python3 -m mecab
• python3 -m mecab dict-index
• python3 -m mecab dict-gen
• python3 -m mecab cost-train

User Dictionary

You can build a user dictionary using the above command-line interface:

$ python3 -m mecab dict-index \
    --userdic=user.dic \
    user.csv

NOTE

• The CSV file must be in the following format:
  • <surface>,<left_context_id>,<right_context_id>,<cost>,<pos>,<semantic>,<has_jongseong>,<reading>,<type>,<start_pos>,<end_pos>,<expression>
• Example:
  • 트위치,,,,NNP,*,F,트위치,*,*,*,*
  • 플랫폼,,,,NNG,*,T,플랫폼,*,*,*,*

Then, you can add the built user dictionary as follows:

from mecab import MeCab
mecab = MeCab(user_dictionary_path="user.dic")

# If there are multiple dictionaries:
mecab = MeCab(user_dictionary_path=["nnp.dic", "nng.dic"])

Fore more detailed information, please refer to examples/user_dictionary.py.

Acknowledgments

• APIs are inspired by KoNLPy