A fork of PyStemmer with pure wheels
Project description
Stemming algorithms
PyStemmer 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”.
PyStemmer provides algorithms for several (mainly European) languages, by wrapping the libstemmer library from the Snowball project in a Python module.
It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
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Hashes for snowball_stemmer_wheels-0.1.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0bf5b714b28cc39661f76526ff8fac99def477a95e1c8c1607616c9258c53f80 |
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| MD5 | b48311834a56641252de2084a5deac8e |
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Hashes for snowball_stemmer_wheels-0.1.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a14019d2efff86b974a37c3f07555368380087131cb0006a3fd055098c3fdb74 |
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| MD5 | 02b6fd3b53a6d04b0cf3cfd1f17a70c3 |
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Hashes for snowball_stemmer_wheels-0.1.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 57a9ad0744817494029c01140624825bb349ba699ad0b163e418eed19f2fe226 |
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| MD5 | dfed460bd0ff9e819f8beab36aca6d91 |
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Hashes for snowball_stemmer_wheels-0.1.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 058dc1bbfd9c4430cdadd9d332250bd324aac874507f3fb00df3f5acadb40309 |
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Hashes for snowball_stemmer_wheels-0.1.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f478171abe09b784c09562be8da62a3c4381fbd1ee9a32d82b32b34fdf46d44d |
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| MD5 | 9b404d4603f206bd29f6edfc21d9fa11 |
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| BLAKE2b-256 | c198e4bd4809bc929203be39260de176e1b580c91173f8e3ba8bca9c7ed166f6 |
Hashes for snowball_stemmer_wheels-0.1.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ec89b68edfeca22c4a12cc009870ed4ea43a9d5b6ce5bb51837ff01460fa7e42 |
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| MD5 | a6c2bbd864a866c4202126915e114de7 |
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Hashes for snowball_stemmer_wheels-0.1.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 302846d95c3cc1ed3d11fa8d9504665907fc960aaf3e808e28c1038cf6576891 |
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| MD5 | 8bd40e3bedee44cf65730852a817b281 |
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| BLAKE2b-256 | 36f8a9f763fc620184f3090d37cc2280a5adba30b2e7aa3bafbde6514f5f928d |
