Information for RPM libstemmer-0-6.ocs23.rva23.riscv64.rpm
| ID | 289751 | ||||||||||||||||||||||||
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| Name | libstemmer | ||||||||||||||||||||||||
| Version | 0 | ||||||||||||||||||||||||
| Release | 6.ocs23.rva23 | ||||||||||||||||||||||||
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| Arch | riscv64 | ||||||||||||||||||||||||
| Summary | C stemming algorithm library | ||||||||||||||||||||||||
| Description | Stemming maps different forms of the same word to a common "stem" - for example, the English stemmer maps connection, connections, connective, connected, and connecting to connect. So a searching for connected would also find documents which only have the other forms. This stem form is often a word itself, but this is not always the case as this is not a requirement for text search systems, which are the intended field of use. We also aim to conflate words with the same meaning, rather than all words with a common linguistic root (so awe and awful don't have the same stem), and over-stemming is more problematic than under-stemming so we tend not to stem in cases that are hard to resolve. If you want to always reduce words to a root form and/or get a root form which is itself a word then Snowball's stemming algorithms likely aren't the right answer. Snowball is a small string processing language for creating stemming algorithms for use in Information Retrieval, plus a collection of stemming algorithms implemented using it. | ||||||||||||||||||||||||
| Build Time | 2025-11-13 11:05:03 GMT | ||||||||||||||||||||||||
| Size | 67.42 KB | ||||||||||||||||||||||||
| 503304fe921be9c360925f1c47fb93d8 | |||||||||||||||||||||||||
| License | BSD | ||||||||||||||||||||||||
| Buildroot | dist-ocs23-riscv-rva23-build-331317-35844 | ||||||||||||||||||||||||
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