Result for F687E15B5F0B5AAA410CE28C7E43F9206D7762F3

Query result

Key Value
FileName./usr/lib/mips64el-linux-gnuabi64/libstemmer.so.0d.0.0
FileSize813496
MD5822367E9EB17A1334191354A8D0E88BE
SHA-1F687E15B5F0B5AAA410CE28C7E43F9206D7762F3
SHA-256EDD4F8A2B6300B84A867AC7079F9D02C57BE1C16F2338291F50B04AF8BF6EA5D
SSDEEP6144:3eFaakZogYbd0eZebWoXlMiddEN14lAvUiPb5mAEBxBI/1Ezz4XkHaksf:jZo1d0eIFyYdENuBizUBI/KukBs
TLSHT17205D699FE94CA96D46902368CB7C5DC773478DA9D02C303729CF33E3D7A2A68582C56
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
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 It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.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