Result for A728D69F062FD1595EF5478215531B1DFB1BE134

Query result

Key Value
CRC32346343B8
FileName./usr/share/doc/libstemmer/README
FileSize5117
MD598A5FA11AFBE6CCB04576D99DE441972
OpSystemCode{'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'}
ProductCode{'ApplicationType': 'Operating System', 'Language': 'Multilanguage', 'MfgCode': '2529', 'OpSystemCode': '910', 'ProductCode': '217853', 'ProductName': 'Linux Mint - Tricia', 'ProductVersion': '19.3'}
SHA-1A728D69F062FD1595EF5478215531B1DFB1BE134
SHA-256416E4F08431F7F65AC825FEB2F8C6FC293EEA31807853FD4BCD551DEAC144A82
SSDEEP96:At7vxqWe6VlpnRbb9iCL0WVKdw5Zmk0r+CZhVo4A4S4GeqE3p4GrfDJ+j9nG6iIb:At75te6VlpRbb9FL0LYPih24AMD3p4Ge
SpecialCode
TLSHT119B1743B5348437527E11396620CA5C4AF29E59D1259FD1808E8C22EE15BF61B3F3AED
dbnsrl_modern_rds
insert-timestamp1647037772.403115
sourceNSRL
hashlookup:parent-total41
hashlookup:trust100

Network graph view

Parents (Total: 41)

The searched file hash is included in 41 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD592ED8C2616C2FBEBDB584BE7BF18D146
PackageArchx86_64
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease16.585svn.fc34
PackageVersion0
SHA-101A78C77BF1726945FC20C1A65872B4B56B1B96D
SHA-256A3F4EC55C3E192431A0B358D55170309029D66B82AD9AFD13A5C44D48AA4C818
Key Value
MD594492283F9722B4361CCCE79BCB0CCB5
PackageArchx86_64
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamelibstemmer
PackageRelease10.585svn.el8
PackageVersion0
SHA-1088B8504095D567C341FB83B1822DDB6A8F24D1E
SHA-2569B121A03314F1F0822A58059EFBA09944DF192C35E22267F39137F70A28CDA1C
Key Value
MD52805246AF610503CDB4346819EDDE356
PackageArcharmv7hl
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease14.585svn.fc32
PackageVersion0
SHA-110243D58B22D2DBA4B00BC97D458FAB99BFF3688
SHA-2563DA0D8F82EB59624CAFD787540193395971E6392CDDF7238A994B991C0B1BB9D
Key Value
MD5637BD66F97E1ADD73634142421CEE151
PackageArchppc64
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease3.585svn.fc23
PackageVersion0
SHA-114670FD8559E5D74DF5AA0DF305D5CE516D076AC
SHA-2568E9EA1F3E88AF3B7FBC92C78BAE73BC98F86D0B9D98186ED6245C76AD08E1D50
Key Value
MD57B2B9297A362A782C1561D3CB97CA22D
PackageArchi686
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease14.585svn.fc32
PackageVersion0
SHA-11B669955D0DA174D0D359A70D797A848ECE892AC
SHA-25690359868E19EE09C7E700B51F02267FBC16F89B5ED9574E0DAF6F7D913CF9A83
Key Value
MD543E88799F0463FCC51F94B33C56B70A3
PackageArchaarch64
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease2.585svn.el7
PackageVersion0
SHA-11F72CA74F44EFE01065ED31A677F255518D96EC9
SHA-256FE83CC90B4EC8CEBEB0837D0D1BA78C8DDECCDB1F368A9832342ECE6E08A4380
Key Value
MD5DC33B322080CDEA54A94293BD399B4B8
PackageArchs390x
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease2.585svn.fc22
PackageVersion0
SHA-12F57B23977927A1A383DD784FCD0DBA0751D188D
SHA-2565662D624AD0397CC053D0EF71B3017A101B88C6B5E6D0ABFD73C160F1EC57BA5
Key Value
MD5148B301CA41A1FB957122AD9FEBCB5D4
PackageArchppc64
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease2.585svn.fc22
PackageVersion0
SHA-12F6906B0B9F9C6D4232890131AACFE79764B1A04
SHA-25618FE87EC856B94FE6D94C7AF497EC2D3DB11A1C851AF9DB38A352498C6049F10
Key Value
MD5FE0AA5AFE7B8CB2D9E2CF5063DEAF2A9
PackageArchppc64le
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease2.585svn.fc22
PackageVersion0
SHA-13045F1AD6F02AC7CF20DE39C98CFFE884B9228A6
SHA-256126BF3B0EE58FD2A0CA1B9A9F814F2D0C850204DB8F4FD2A3492DE09184A6642
Key Value
MD573DAC4F97DB7DB5748CB4FE70987B2A1
PackageArchppc64
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease4.585svn.fc24
PackageVersion0
SHA-135131C00EA5798A809A467F43FBFC4D63E537ED9
SHA-256D8878F10E4C2BD6AA9FF8D65AC7AB0DC1C28222EAD4371F77EAD71CEBBF539AA