Result for 0CEF8C46F0A9983D14238C15BF97637BDB107663

Query result

Key Value
FileName./usr/lib/arm-linux-gnueabihf/libstemmer.so.0d.0.0
FileSize468480
MD5829743F0ECF3CB01BF540C0E9FC72280
SHA-10CEF8C46F0A9983D14238C15BF97637BDB107663
SHA-25618717AFDFF9C207022A0CC0F19E57D7001646977154988D662F3F5499960A3EA
SSDEEP6144:ErykhiJrKugHXk9nF2ht6C9U2BeVbXQxfPb8H2tDJhDOvXlWDBQPEXb2xGtyPoHk:ShF3Mnst66lkgt4HcBOvXJEXKxGU
TLSHT119A44B49FA90DE46C441063ABCB3D2E87360B899AE56D3537280FB7D3F7B69281874D1
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize102676
MD5BE7A9B67A437D0354B37E596F744785A
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 It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.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
PackageVersion2.1.0-1
SHA-1D7953246961076A79CB3A331FFA0C550918ED168
SHA-25619BE8B422DFA39E9B7E3E858A5D4E35942D0DCB3EC226B3B3002BAB853B2C391