Result for 4E35E8F1E9666E48C2F1A85AAAD692F5F0C54256

Query result

Key Value
FileName./usr/lib/arm-linux-gnueabi/libstemmer.so.0d.0.0
FileSize529912
MD5C85FA2E3048250AFF74EEA6BE390FBA2
SHA-14E35E8F1E9666E48C2F1A85AAAD692F5F0C54256
SHA-2569A91039A19FD50476C2D60C156FCD583321D1C10B733C16553A3845CDE7DB586
SSDEEP6144:ESmKhgLzisIVrNaVXe5vfNLI9pP2mD2tDJhDOvXlWDBXwD3L1LPzmV:EhnLIVxfNLI/2mDcBOvXxFmV
TLSHT1F2B43D51AA90CF85C0110236BE5AF2EB732278E49EAA83477540BB3D3F76D97835F185
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
FileSize100292
MD5FD31EF9EDE0C26F54ED77CFC6D7E7FE8
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 It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.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-19EA862B00CC314436270FF08179E17B428575335
SHA-2567732ACA89C41A444B51A7595D2262305E4C967D0276E98FE17F9177B716B2B41