trstemmer


Nametrstemmer JSON
Version 1.0.0 PyPI version JSON
download
home_page
SummaryA simple Turkish stemmer
upload_time2023-07-17 20:44:39
maintainer
docs_urlNone
authorMehmet Utku OZTURK
requires_python>3.9.13
license
keywords stemmer machine learning nlp
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            trstemmer is a simple Turkish word stemmer which is still in development (for now, it can only stem verbs and may not be accurate.). You should download Turkish NLP model (`pip install https://huggingface.co/turkish-nlp-suite/tr_core_news_lg/resolve/main/tr_core_news_lg-any-py3-none-any.whl`) before using the library. You can use the library as following:
```
from trstemmer import turkish
stemmer = turkish.stemmer()
result = stemmer.stem("seviyorum, yapmışım, koşarlar, yemişsin")
print(f"Result: {result}")
>>> Result: sev yap koÅŸ ye
```

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "trstemmer",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">3.9.13",
    "maintainer_email": "",
    "keywords": "stemmer,machine learning,nlp",
    "author": "Mehmet Utku OZTURK",
    "author_email": "<contact@\u00e6lphard.tk>",
    "download_url": "https://files.pythonhosted.org/packages/a9/b6/f8e640619f31b2c173dbebf7cab8b66b7a337f85da10b151c198258f9cd6/trstemmer-1.0.0.tar.gz",
    "platform": null,
    "description": "trstemmer is a simple Turkish word stemmer which is still in development (for now, it can only stem verbs and may not be accurate.). You should download Turkish NLP model (`pip install https://huggingface.co/turkish-nlp-suite/tr_core_news_lg/resolve/main/tr_core_news_lg-any-py3-none-any.whl`) before using the library. You can use the library as following:\r\n```\r\nfrom trstemmer import turkish\r\nstemmer = turkish.stemmer()\r\nresult = stemmer.stem(\"seviyorum, yapm\u00c4\u00b1\u00c5\u0178\u00c4\u00b1m, ko\u00c5\u0178arlar, yemi\u00c5\u0178sin\")\r\nprint(f\"Result: {result}\")\r\n>>> Result: sev yap ko\u00c5\u0178 ye\r\n```\r\n",
    "bugtrack_url": null,
    "license": "",
    "summary": "A simple Turkish stemmer",
    "version": "1.0.0",
    "project_urls": null,
    "split_keywords": [
        "stemmer",
        "machine learning",
        "nlp"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "a9b6f8e640619f31b2c173dbebf7cab8b66b7a337f85da10b151c198258f9cd6",
                "md5": "393686d8e38fd4a7d494086492ac1016",
                "sha256": "9e94c7103470be5084ccccd3d3d6b6f4a88c4d3b60653c498ee7dfa579a43ff1"
            },
            "downloads": -1,
            "filename": "trstemmer-1.0.0.tar.gz",
            "has_sig": false,
            "md5_digest": "393686d8e38fd4a7d494086492ac1016",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">3.9.13",
            "size": 2747,
            "upload_time": "2023-07-17T20:44:39",
            "upload_time_iso_8601": "2023-07-17T20:44:39.078758Z",
            "url": "https://files.pythonhosted.org/packages/a9/b6/f8e640619f31b2c173dbebf7cab8b66b7a337f85da10b151c198258f9cd6/trstemmer-1.0.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-07-17 20:44:39",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "trstemmer"
}
        
Elapsed time: 0.23892s