Result for E7DB51A9BF0A4D9B89C24B884732FA2B10E96670

Search result
Graph view
Children (57)

Query result

Key Value
FileSize16840152
MD54D34ED8226A69A848793F9F6FAD889C8
PackageDescriptionJieba Chinese text segmenter (Python 3) "Jieba" (Chinese for "to stutter")is a high-accuracy Chinese text segmenteran based on HMM-model and Viterbi algorithm. It uses dynamic programming to find the most probable combination based on the word frequency. . It supports three types of segmentation mode: * Accurate Mode attempts to cut the sentence into the most accurate segmentations, which is suitable for text analysis. * Full Mode gets all the possible words from the sentence. Fast but not accurate. * Search Engine Mode, based on the Accurate Mode, attempts to cut long words into several short words, which can raise the recall rate. Suitable for search engines. Traditional Chinese and customized dictionaries are also supported. . This package installs the library for Python 3.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-jieba
PackageSectionpython
PackageVersion0.42.1-1
SHA-1E7DB51A9BF0A4D9B89C24B884732FA2B10E96670
SHA-256E8047A99F0A1B6581A80DBCB5A2409BFE79AB59DC00FC780FB1A1513DAF1C165
hashlookup:children-total57
hashlookup:trust50

Network graph view

Children (Total: 57)

The searched file hash includes 57 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib/python3/dist-packages/jieba/lac_small/model_baseline/gru_2.b_0
FileSize1563
MD589F2338E0D9A3398BE399A8820179CE4
SHA-10309EB5B57BF141E17B8533928965E74474C5045
SHA-256CDA019C833A1ABF4986DEC6DFA04E4115ACDBF589C4AD5151277C4958338712E
SSDEEP24:akKUIZaFaMKqqgLFD8N0s/6zSWAtjbmHQNDaupm3dNybd9LyFKx2sjV:rFaMvHsyzSznmHQhmNUbdUKjV
TLSHT170310AA3823BE8A8C65377F51177CFD3DAE80A79154BC34A05DF86BD448464534E1B06
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/jieba/analyse/analyzer.py
FileSize1403
MD51F5A34212445EBBC9922851DDAAB37F7
SHA-103E457E3C28017CB595F5E1CC06888C4936BA402
SHA-256461244A181ABE1398D85CB4763372007B4ECDFA7CD9B6EEC62879190D4950E9D
SSDEEP24:GagP8luBhLe2I+e4RBRNmeTJqlo8e9+NtvUYgCe0RFL0TOeXeKA6rMahev:DiuuXIyRceTwReEHv/gWcRXNA6QaG
TLSHT1BD21DC4FE9BE2119DEA4FAC1FC66DE2046E9A503CC08D98D7A4C5B809F5550684F7468
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/jieba/posseg/char_state_tab.p
FileSize2113902
MD5F52EA54AC480E2B150F4E283346CCECE
SHA-10474805D1D6E4A8C3F37D1C923CADDC87A3C9C1D
SHA-256C0EF4BB3D698EED188225D430AC291000B30C3D6E253A538D26B7AC9687424B1
SSDEEP24576:Zjh51FHL05QnFNbrTd+RDVziYLDA6V1Zz8ZT:p
TLSHT176A5335D4FB4E8C3D62195FF05F959A2503B583229339C9719CA29A4CE7A233F30963B
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/jieba/lac_small/model_baseline/gru_3.w_0
FileSize196636
MD5D8374613C826B17AB7954069907A72ED
SHA-1061AB8C76330ED55A2E1A66C2504DA9C9274EEB6
SHA-25691F837F6DEAA75BA877F048BEDD987198A1F635C061B85C39CD773EA6E69136B
SSDEEP6144:igSayUv89fwk23GK5UX7yi47zErhk66aZ+R/HR4N:igStJ2JHi47wk6oRpa
TLSHT1C714131937FFAF5408B859BF49221D07F5C93D066B7864420070ECBA7CABB1AEAD185D
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/jieba/lac_small/predict.py
FileSize2626
MD519C72331053B067A36A0ABCE27AFC3C6
SHA-10D34BD021795A54C010121728BC22CC5F8D1EDA2
SHA-2564099D712D1B9544A0641CEBA16DFDEB01129307953A4E39B4FD914D95D077A9E
SSDEEP48:F4Ax0OH31hAygqXeEXnuYtv1cZBI6f3BeIPf3U4te4U:F407HFhzgqXeEX9WD7fReIPfk4te4U
TLSHT1DD51C598B5658877074682593A0F65CB23F6E4032B8E3D303A8C120D6F99A7452FE3D7
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/jieba/lac_small/model_baseline/gru_0.b_0
FileSize1563
MD53E8EBD23FD8D3D8EC2D0CE5DACA88E73
SHA-1111797DF635DEEC5245FEE5AC4EE8B64F321E6A4
SHA-2563940A09D14029870B442C55841CD2F4D4EA4AC7142221EBB50EEAEA78AAAE839
SSDEEP48:MdB5ptZkcEUbfjN6U+6zab0bjn1BRQh+5fxLM:MdBnQUbfj0U+62Abjnf9fpM
TLSHT15B310A893A5816B2DF607D7897A54431360497527CD608CE0E238473D7D0FAA0BCFF26
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/jieba/lac_small/model_baseline/word_emb
FileSize10721821
MD51BA85BCCF1F57962042CF98DAB2EDA8A
SHA-1125F869EFE5C1DAE46939E61083C65C5CBBE13D9
SHA-2563B65CDC2D4EBD78F03BBFE8747162C1E63F5B1C821D08F0EC695248C40F8BE38
SSDEEP196608:4MU3KGPi8LODcXjyBJjXgXGLKcehdW+mWg3vtoegL9bQcc/mLLkArC/15oGlmSYC:UZtSUyBJcGLKcehz8Vo99bc1J5tn+IbP
TLSHT122B63343F332E7097BE6516B0ABED256C2898607CD878D20D10DDEF42E6605E5FE9788
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/jieba/lac_small/model_baseline/gru_2.w_0
FileSize196636
MD5CE9F491DB3C3F6273B317CC942C91001
SHA-118FA54E38117F492DD76DCBF86E264FCB15DE27B
SHA-256F38AE5D2A94EEE65C41232BA834AD0B7AB63DE739664C01A33DCEC608932F664
SSDEEP3072:7S8NsDRTqfuONWzV2uXBXSS1dS+vQblaQlSKINj/1VLmE6w1bAwlisx9W/ca6Uh:rNIFFikS+YblaQlSKCtcEL1viYW/RH
TLSHT12614130B8B8ECFEBF72F1A75402991BB132609D7438B414DF642EF44D571620A6CEAE5
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/jieba/analyse/__init__.py
FileSize501
MD56A236C068EED328673E485DFB4DB3102
SHA-11EC5A61117E9DFD14AB67202BBC334E0AB635347
SHA-256E136293CB1979BED752085887C98368500566BFB45036A88B09998B913E70301
SSDEEP12:1RjCfXso2x6dHBRw7PDdMmi0bDD0DiAYiEDjeDiANNub:1R2kodPwemi0JiE3uwb
TLSHT1DDF0E936A1E39B31C06AF44C455A5DD7D2215E677705F0393DD4D3B307802A8CC8D994
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/jieba/analyse/tfidf.py
FileSize4310
MD5048739B8478330D4709BE462E8CE7448
SHA-124D8E60E57DCE0828AA1C01691E90AA6B8723E60
SHA-25668DD362657C0EDC29616E8F883449208D14B2B4756D1605022EF086489F8B4AE
SSDEEP48:DiaNGzcTb9YCysvTNTjrqvTCzu7DjtgepoHhBBoUyC7LH7vFp5zwyW9g8X6pIK4G:DtGweSTNTj2TCK7DjWyC7Xd/4a4G
TLSHT1B191739555A65811C37BE7165A42A8837B0CE9B3C60C9231BEFC13706F889798AF1EF4
tar:gnameroot
tar:unameroot





metalookup is a service from miwakeru.com