Result for 4A52E7F221F14E48E37CF3AD51CDD4A1ED6A524A

Query result

Key Value
FileName./usr/share/doc/python3-snowballstemmer/changelog.Debian.gz
FileSize2389
MD54CD4DA6E90E79EF5B1EEC38D83AC709D
SHA-14A52E7F221F14E48E37CF3AD51CDD4A1ED6A524A
SHA-256AEA06D83A0C5835330CC18891DC98CF9E01FB557582938945140C76F3BB2EC7B
SSDEEP48:XVqIoFIsLdDTpjLa3D9ydgrFVmORJnbPxDoKhXd4bBhyDkntdT6:7YFS3DEd+5HZNSCqT+
TLSHT1E7413AE25C4E7886CF3AEA22E05FBA8B085E11E0DC4091981FC4876E51F07089D3A8C6
hashlookup:parent-total10
hashlookup:trust100

Network graph view

Parents (Total: 10)

The searched file hash is included in 10 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize109452
MD5168AD293EDC6EE2D10B6C5290831A791
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 It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerStefano Rivera <stefanor@debian.org>
PackageNamelibstemmer0d
PackageSectionlibs
PackageVersion2.1.0-2
SHA-1DB9A16ABCD1AB6FC73005891B2DC55EE4E1A2329
SHA-256DFE816D63BC07E3C87C1414A6EF3F49FAE27773CAC49C8CDEDF75DE3C8CA4AB8
Key Value
FileSize102604
MD5391EE16F5DEB8F139D899B43AD0006C6
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.
PackageMaintainerStefano Rivera <stefanor@debian.org>
PackageNamelibstemmer0d
PackageSectionlibs
PackageVersion2.1.0-2
SHA-12EE6E85CACC0FE993DB135964A7D32807F2C9417
SHA-2569FFC772BB02753EEA26DC369518AD43D5FE377F5089080598FA300ACB389F398
Key Value
FileSize100488
MD574E79C92E5B3E62538B5A62CC63631EA
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.
PackageMaintainerStefano Rivera <stefanor@debian.org>
PackageNamelibstemmer0d
PackageSectionlibs
PackageVersion2.1.0-2
SHA-17E4FEC1D4C5FABD362868E4549DC528FBD58FF7E
SHA-256081446B5BB695D9E2134678890D1A1CB463D36FEFA851142563C931799851787
Key Value
FileSize96932
MD58DB33023BA67DB6E9760FC807724919F
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.
PackageMaintainerStefano Rivera <stefanor@debian.org>
PackageNamelibstemmer0d
PackageSectionlibs
PackageVersion2.1.0-2
SHA-1C603DAD6E2152A05B3F493EE291C96B2C5C956B5
SHA-256C5C7874C9DA3FA0F0323B9F96E7866A82464C11EC36F7FD1E5AAA9A516857309
Key Value
FileSize118544
MD55D27FA1D0BF88A8BE52B02A8516AAB83
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.
PackageMaintainerStefano Rivera <stefanor@debian.org>
PackageNamelibstemmer0d
PackageSectionlibs
PackageVersion2.1.0-2
SHA-133B832161BA2EF5BB52F3E7F5A9672D2C6F16536
SHA-2560364DBFBF2A6A44B946149EB0F6FDFA4D9534CD4EC7F7711AD1156AD1A15AC36
Key Value
FileSize113728
MD52AE7DDCF8B475B0C2F0F90BBC0B31DE0
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.
PackageMaintainerStefano Rivera <stefanor@debian.org>
PackageNamelibstemmer0d
PackageSectionlibs
PackageVersion2.1.0-2
SHA-15D365018EFAED0417801840F04DAFEAD2770CAD2
SHA-256758EDE50CB6A2297F50DB09679044787CEDBE9518E1AFCF2A927462ED5CDF970
Key Value
FileSize58796
MD585621A97D0271F4991915DB302A210F9
PackageDescriptionPure Python Snowball stemming library 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. . This package contains the pure Python module that implements Snowball algorithms. When python3-stemmer package (which contains the C extension) is installed, it uses that extension instead of the pure Python code.
PackageMaintainerStefano Rivera <stefanor@debian.org>
PackageNamepython3-snowballstemmer
PackageSectionpython
PackageVersion2.1.0-2
SHA-16FCD644EF5F73075CEEC7EF0084D33C01E702297
SHA-256BBEF6102AFE268D6BA44E284816BCAE70F1A73B66EA8C3F90F3182B0628A612A
Key Value
FileSize112152
MD5B91966654CA98CD86F3C66232487528F
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.
PackageMaintainerStefano Rivera <stefanor@debian.org>
PackageNamelibstemmer0d
PackageSectionlibs
PackageVersion2.1.0-2
SHA-123750F543EDEE45E188A72D4D1A4B2A979D5175D
SHA-256067FFC93E30AC570EA664EDE9D3F923851EDA250E8DE6E46A8F982C38E34EEF2
Key Value
FileSize102904
MD5EE4E496C30A8FC767ABDC4EB72DC003D
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.
PackageMaintainerStefano Rivera <stefanor@debian.org>
PackageNamelibstemmer0d
PackageSectionlibs
PackageVersion2.1.0-2
SHA-15E5A2B6763E90E60176A1E9EC1B5AD42EE89DF9B
SHA-256DFB8018EC46301065B489BBBCA8CA765767EE2547919847AD3B23DCB0291D487
Key Value
FileSize120356
MD5A6E930BB8D4AEE10A230699773C77A8E
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.
PackageMaintainerStefano Rivera <stefanor@debian.org>
PackageNamelibstemmer0d
PackageSectionlibs
PackageVersion2.1.0-2
SHA-15FBD529B821D40DA73606494366104F0D49DDEFC
SHA-256BD2DBF056A95D7FB83923F38FDB44B8F6D3EBEFB657A1149D589567342DBAF38