Authors
Author1: Maksud Sharipov
Author2: Dasturbek
Lemma & Lemmatization
There are 4 different ways of lemmatization: rule, dictionary, model, hybrid.
The package finds lemmas of Uzbek words based on the dictionary.
Install
pip install uzbek_lemmatization
Usage
import uzbek_lemmatization as ul
print(ul.lemmatize("qishlog‘imizda")) # qishloq
Metadata
Release files for uzbek-lemmatization 2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| uzbek_lemmatization-2.tar.gz | 226.9 kB | Without provenance | Details for uzbek_lemmatization-2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| uzbek_lemmatization-2-py3-none-any.whl | Python 3 | none | any | Details for uzbek_lemmatization-2-py3-none-any.whl |
Total release size: 455.0 kB
Release files / uzbek_lemmatization-2.tar.gz
| Download URL | uzbek_lemmatization-2.tar.gz |
|---|---|
| Size | 226.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/5.1.1 CPython/3.11.3
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Release files / uzbek_lemmatization-2-py3-none-any.whl
| Download URL | uzbek_lemmatization-2-py3-none-any.whl |
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| Size | 228.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/5.1.1 CPython/3.11.3
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