Skip to main content

A python binding for mecab-ko

Project description

python-mecab-ko

A python binding for mecab-ko

Help

See documentation for more details.

Installation

Using pip:

$ pip install python-mecab-ko

Usage

To perform morpheme analysis, you need to make a MeCab instance first:

>>> from mecab import MeCab
>>> mecab = MeCab()

To extract morphemes in a given sentence, use mecab.morphs():

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

To extract nouns in a given sentence, use mecab.nouns():

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

To perform a morpheme analysis on a given sentence, use mecab.pos():

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

If you would like to obtain detailed morpheme analysis results, use mecab.parse():

>>> mecab.parse('즐거운 하루 보내세요!')
[
    Morpheme(span=Span(start=0, end=3), surface="즐거운",
        feature=Feature(
            pos="VA+ETM", semantic=None, has_jongseong=True, reading="즐거운",
            type="Inflect", start_pos="VA", end_pos="ETM", exprssion="즐겁/VA/*+ᆫ/ETM/*",
        ),
    ),
    Morpheme(span=Span(start=4, end=6), surface="하루",
        feature=Feature(
            pos="NNG", semantic=None, has_jongseong=False, reading="하루",
            type=None, start_pos=None, end_pos=None, exprssion=None,
        ),
    ),
    Morpheme(
        span=Span(start=7, end=9), surface="보내",
        feature=Feature(
            pos="VV", semantic=None, has_jongseong=False, reading="보내",
            type=None, start_pos=None, end_pos=None, exprssion=None,
        ),
    ),
    Morpheme(
        span=Span(start=9, end=11), surface="세요",
        feature=Feature(
            pos="EP+EF", semantic=None, has_jongseong=False, reading="세요",
            type="Inflect", start_pos="EP", end_pos="EF", exprssion="시/EP/*+어요/EF/*",
        ),
    ),
    Morpheme(
        span=Span(start=11, end=12), surface="!",
        feature=Feature(
            pos="SF", semantic=None, has_jongseong=None, reading=None,
            type=None, start_pos=None, end_pos=None, exprssion=None,
        ),
    ),
]

Acknowledgments

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

python-mecab-ko-1.3.2.tar.gz (11.6 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

python_mecab_ko-1.3.2-cp311-cp311-win_arm64.whl (735.6 kB view details)

Uploaded CPython 3.11Windows ARM64

python_mecab_ko-1.3.2-cp311-cp311-win_amd64.whl (794.0 kB view details)

Uploaded CPython 3.11Windows x86-64

python_mecab_ko-1.3.2-cp311-cp311-win32.whl (554.3 kB view details)

Uploaded CPython 3.11Windows x86

python_mecab_ko-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (572.3 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

python_mecab_ko-1.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (551.3 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

python_mecab_ko-1.3.2-cp311-cp311-macosx_11_0_arm64.whl (602.4 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

python_mecab_ko-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl (616.2 kB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

python_mecab_ko-1.3.2-cp310-cp310-win_arm64.whl (862.2 kB view details)

Uploaded CPython 3.10Windows ARM64

python_mecab_ko-1.3.2-cp310-cp310-win_amd64.whl (647.7 kB view details)

Uploaded CPython 3.10Windows x86-64

python_mecab_ko-1.3.2-cp310-cp310-win32.whl (683.4 kB view details)

Uploaded CPython 3.10Windows x86

python_mecab_ko-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (572.4 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

python_mecab_ko-1.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (551.1 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

python_mecab_ko-1.3.2-cp310-cp310-macosx_11_0_arm64.whl (602.4 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

python_mecab_ko-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl (616.1 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

python_mecab_ko-1.3.2-cp39-cp39-win_arm64.whl (859.1 kB view details)

Uploaded CPython 3.9Windows ARM64

python_mecab_ko-1.3.2-cp39-cp39-win_amd64.whl (644.0 kB view details)

Uploaded CPython 3.9Windows x86-64

python_mecab_ko-1.3.2-cp39-cp39-win32.whl (683.5 kB view details)

Uploaded CPython 3.9Windows x86

python_mecab_ko-1.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (573.6 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

python_mecab_ko-1.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (553.4 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

python_mecab_ko-1.3.2-cp39-cp39-macosx_11_0_arm64.whl (602.5 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

python_mecab_ko-1.3.2-cp39-cp39-macosx_10_9_x86_64.whl (616.3 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

python_mecab_ko-1.3.2-cp38-cp38-win_amd64.whl (816.9 kB view details)

Uploaded CPython 3.8Windows x86-64

python_mecab_ko-1.3.2-cp38-cp38-win32.whl (683.9 kB view details)

Uploaded CPython 3.8Windows x86

python_mecab_ko-1.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (573.4 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

python_mecab_ko-1.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (550.9 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ ARM64

python_mecab_ko-1.3.2-cp38-cp38-macosx_11_0_arm64.whl (602.3 kB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

python_mecab_ko-1.3.2-cp38-cp38-macosx_10_9_x86_64.whl (616.1 kB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

python_mecab_ko-1.3.2-cp37-cp37m-win_amd64.whl (668.4 kB view details)

Uploaded CPython 3.7mWindows x86-64

python_mecab_ko-1.3.2-cp37-cp37m-win32.whl (553.9 kB view details)

Uploaded CPython 3.7mWindows x86

python_mecab_ko-1.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (575.1 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

python_mecab_ko-1.3.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (559.6 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ ARM64

python_mecab_ko-1.3.2-cp37-cp37m-macosx_10_9_x86_64.whl (614.6 kB view details)

Uploaded CPython 3.7mmacOS 10.9+ x86-64

File details

Details for the file python-mecab-ko-1.3.2.tar.gz.

File metadata

  • Download URL: python-mecab-ko-1.3.2.tar.gz
  • Upload date:
  • Size: 11.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for python-mecab-ko-1.3.2.tar.gz
Algorithm Hash digest
SHA256 79ae9d287e2a506672712cdd2e9a25e391e178c4ba970c5b16b1bb4b22d9d78d
MD5 9418ea4ab117d0e77a72b5210c61c6fc
BLAKE2b-256 45c350738ccd09142a6911275636f8a6e7eca15a7970397f5f5d06081cfd7eab

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp311-cp311-win_arm64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp311-cp311-win_arm64.whl
Algorithm Hash digest
SHA256 7debb5db2e7dfe0f4a5402089de3de6ad4874462db5fcd7cd3e2a5895f49bcb1
MD5 662963cc5dc34dd1f312c7c9fbbb7a36
BLAKE2b-256 fcefe79aa7055ef2ac7f7c054c880b42d70c1e7d3bed999b63bac0d706a24447

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 728190a503f3c5023eccbba4852e575b247021117e2d40a25ed995ec903bebee
MD5 19130ff845f82a451c3ca31a5982802f
BLAKE2b-256 690181150dd139c8e4f4bc7fd6fe7e541754cbe1ac46aad44646077c1505bcd1

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp311-cp311-win32.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 2e7498247e27bdc27eb50fda725fbacdc70808f00e95a825c41e8569a0b6cf07
MD5 9f65db02603d1daa72a86d18e4112730
BLAKE2b-256 5320b6e8ba2a8eaa9fbf9f1220ea6871f3db1e3950b4860782f0d39d6af7423b

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a8c4827a1333631ae51ab54bf1751e7cf287fc825d1f410c6253d55acc2431a5
MD5 6d21b9f9179ff8d3467e8990ce819b52
BLAKE2b-256 b37518adeb5ac0b8cf097454504f2f0d2a08a24043174dbf54ab88c905983853

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f6fa69395b7c4ccf4db61c5c2e59aa980fe3aae50576a4732581d7580b0af7a9
MD5 5e6d1a0391c48fbb18359d67e56dd1e5
BLAKE2b-256 eca0dafc0e0c4a0d961c4dac07c9010199bcdb4ebb0603e75c9ec06412b9fc7b

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 91ecbbc1b84d131fef486483d5ae9ac3ca4b91439c4efbfa42865ee95962193c
MD5 4ccf2bab5774be5c6cd5e1c4537d1fce
BLAKE2b-256 79cb3ea315a9ea5650aa1498624374b7e149f8c30747e71422412f3511f866b4

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1bdc69d2063f5bc2c3692b2d78dc227c92641635927168d447f32da24964bc26
MD5 7affebe519ef0401b98af71466809f06
BLAKE2b-256 a055024b45d3b69429ece80af5a7b3601735e45557ef9aae152966d593b5f8d4

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp310-cp310-win_arm64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp310-cp310-win_arm64.whl
Algorithm Hash digest
SHA256 f304b390d2fbcc4420bb91cb7130496b1f059a5dfcf580dd5a09661fc275d580
MD5 f5ac59c5d78921045d9c13018fa72bcf
BLAKE2b-256 50f885fc381ac24af01ef722e1ac1c8f4b72bd431fd927f8ff5d362f498aa3ee

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 19266f2adb56b773d5a6702f0a480e007da689e298a746e23d9376d47efca4e6
MD5 7d79feb83223f10df0017470fc369b6d
BLAKE2b-256 3e9d86903c0184734f83e07e54a79621007a889b6ccc39fbae58ab7402f77fce

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp310-cp310-win32.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 1171dc936646d094df3a8c296b10418250c275ccb46ef3c040edc8f5715384a9
MD5 15615334c2392c21ca6b9b3d7e1d8e47
BLAKE2b-256 a088f4fe8e41c683985b16443d86040f40a324e9c0f934ebfd33160087809229

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 77f03f9ff35471298ddc8b2b89500f39af677c41c6b3abe7c98219f6e894bbd0
MD5 73a784afb791d768309988f6aceaec6a
BLAKE2b-256 a3a021ab0471f828be07797c17464b63b180190068d04d2f29736b07e97be9d4

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c4032fe055674559394e69054b5ece784bfa5885e54b8edf1a1d5950271c3148
MD5 4bb66b96dc8b991afe291ec598e6907d
BLAKE2b-256 4141508857ebff78bd22776fcd89d0a8bbb092d52e6c56ce05254828997dccd8

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 c04f6bd80abaeb761d11cd1a9dab2c1eff02e0bb480ab77bc74f7fb4d97829d1
MD5 e0a26325f8589eb9eba59ac7c1628623
BLAKE2b-256 81255b0a9bf2a7191144fd34d266f5df92f57ceaa290c618469d4d47fc589db0

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b8e0075422841fedbe9940bbb953a7da47947d751adb56dcb31fe88ea20f35f0
MD5 2ca5dd8279776cbb4b7d5674466154bf
BLAKE2b-256 1b4b746129d41401a20141d88b123bfecc3855fef4a8ba6f46818431c4345d6e

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp39-cp39-win_arm64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp39-cp39-win_arm64.whl
Algorithm Hash digest
SHA256 e640368a3994158d76daf911523c6dc664a982e0e2ef3225f2d22b7535f4f573
MD5 911198220c940b4f1c498d48c96d198f
BLAKE2b-256 de4d53a3c08f57e2cc150b473c6aa927e4978c072628d014319bea8d41c48782

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 2c113454b0744817c0acbb23968b09521a5068f2e1680c20f9e6c39a240dd992
MD5 121acc7e4d2b5ac5c6871b6ed809b0a5
BLAKE2b-256 adc8f1bebede869c88f20a809b77178591a9ead14d45667be78fe3281a2447fb

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp39-cp39-win32.whl.

File metadata

  • Download URL: python_mecab_ko-1.3.2-cp39-cp39-win32.whl
  • Upload date:
  • Size: 683.5 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for python_mecab_ko-1.3.2-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 4460e7919b27a7c776b6d0f9a69c29d0a59fd43aeac4db7cec84a9e947295b7c
MD5 e63e56b5c44d127365b5062082d5c98b
BLAKE2b-256 254b62e1d3d3a103b301dab90999a73180866e3613459fe4a2f7b305c658b839

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b3682cdb43bf1e2f085d0e2d6a7d9a3abefeb45f3483ae242032bccf917c10e1
MD5 2444f5925cda873db48908c053c9daf7
BLAKE2b-256 1adf881d7981467acbed5909551b263578af1815a11e5dc31c4d5b0781ddbe0f

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 bff89d552bbfd807e59852ed5c19c82b9b8d90db055eca0d924fc2fa417dce27
MD5 cb057f2fd25406450093a56e5829482f
BLAKE2b-256 e1a7f88ee4164f091668f784a2c72414c418549bb825afb86fed883a06b20311

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3808ceeeb362f5121cda5dd37324c42ae2cebec446fb3899eb746c0ea8d30ef2
MD5 72c6315319753dfb03d74886535e869a
BLAKE2b-256 a1c2e3cc4baff60592632bc72686f142792a937fe6878c1900907d7d56a40a5c

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8121d0bee2faa6aede3bb22e9a69af3a00d85bcc2b2579068c6cfe1e64d258c0
MD5 95cc8bffb9f4f5953627429cd941d540
BLAKE2b-256 ad0988588bfe2f6970404a47d4b3d14bf777cb30ade129f028c9c26ea42cdb59

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 a38254a152caffce23fc877cfe2fcd9a3a09ed706ea21cd68bae9d5400695f4e
MD5 62a7dd4859284042d2766e2ea902130a
BLAKE2b-256 0c127f7aba74c9724e83356446d57421c8a85267bc3d3cc1389a33e9f9963bb5

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp38-cp38-win32.whl.

File metadata

  • Download URL: python_mecab_ko-1.3.2-cp38-cp38-win32.whl
  • Upload date:
  • Size: 683.9 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for python_mecab_ko-1.3.2-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 d4596a85bf5f53262bbd20c1d2a9932350795962c600c80447d17041f5b74f93
MD5 aaacbec00b34539def9edc6821fea5e0
BLAKE2b-256 f957318ac8d063eeb7881914e4520a7b3f2b4c6eaf7138646139152704891bff

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 462d6d24b622a0037f68fb779142fb38a44ce585a38b986e502d884cfb19ab47
MD5 f1f34bcc6889e2322e84cbadeac6a113
BLAKE2b-256 46ce6805c1d0fec8ac97d1ea6467630c2b730174ae84e2afbff2f865662b9f27

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ebcc8cb73f92316e793a06975123f8e511edcc2be6cbef8bd6163fcbc33f9bec
MD5 37ac33b88b2ef082ee48cf01c580cdf5
BLAKE2b-256 d9c222bd17b92f13e342309e591cd73cfdbbf0c6cb7de6af2f533e807f3b1ea2

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 61476bd06d6e0b2eff10e70ffc01a6842d924f9e857c241cdada10254d8f5309
MD5 1bdabd16eccedc441ad4ee1e13bfa454
BLAKE2b-256 c6358e0762e7f80791e71f0ca220a0ce6c85edb9d0257f6b73b944c4ecde9a93

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e10289eb57623e248ca26988d3e0fb724bd023c0757a25f8049b9763a14bf4a3
MD5 f1c8488cebb59d276923a44fe7df7e8f
BLAKE2b-256 23523ea853a3f20646f656c54486e67a29930d682831c89ed6ab98398ed49bb9

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 b8b8b6696d668eddcc24c2f18d02b9082fc5a96207744e9c7d2dcd86cf7a116f
MD5 8a07839413807297f436af6609a5034d
BLAKE2b-256 4c6dee627c5a0e91a5755a297644cb6bfd6726a06d34a518a63a3aa1b8dab4f4

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp37-cp37m-win32.whl.

File metadata

  • Download URL: python_mecab_ko-1.3.2-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 553.9 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for python_mecab_ko-1.3.2-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 f7f44d7fb4a9e515f1a370325ee44271834889ae479beacd33fd9c6a61111d2a
MD5 7876dd7d94886d92055a42693fd5f66e
BLAKE2b-256 814540d3507c3da966f2fdb19c4874877e3bd8246b3992e6782ef32cfc77c5f7

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ac5ab1eeae3d0afe3b9aaf425330166aeee527f7d50600a8ad02daaff2416be0
MD5 7644de41fbd84656e8f0e6699e31f5a1
BLAKE2b-256 07ea4d74d136fbd752f0111d488222b452ce61679cf4d2488e85dad94944c58b

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3678c8df59006e8dc794bd1f9f16e3d6385cf20a19b000e368c57a96af146b47
MD5 ad34a1297101ebabfa89ba7c3c5a9fe2
BLAKE2b-256 7c109ebf57b776bb03f4ac3700dda7bae56aa314467d9d1d81a6c73af329df91

See more details on using hashes here.

File details

Details for the file python_mecab_ko-1.3.2-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for python_mecab_ko-1.3.2-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e923b6e9e6dd928b299506abe0b74371c45a381844ae5608d223072f766883d2
MD5 d946e1d2662c416078629041e1484b6b
BLAKE2b-256 1ba7b7971fec7ff7abc85a466dddc733b390988c0f74af06159a1a4799047a63

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page