pyhfst


Namepyhfst JSON
Version 1.3.0 PyPI version JSON
download
home_pagehttps://github.com/Rootroo-ltd/pyhfst
SummaryA pure Python implementation of HFST for using HFST optimized lookup transducers (with or without weights)
upload_time2024-03-26 20:28:35
maintainerNone
docs_urlNone
authorKhalid Alnajjar and Mika Hämäläinen
requires_pythonNone
licenseApache-2.0
keywords hfst fst optimized lookup hfstol transducers
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Pyhfst

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7791470.svg)](https://doi.org/10.5281/zenodo.7791470)

Pyhfst is a pure Python implementation of HFST. The library makes it possible to use HFST optimized lookup FSTs without any C dependencies. Both weighted and unweighted FSTs are supported.

The library will run on all operting systems that support Python 3.

# Installation

    pip install pyhfst
    
Pyhfst can run way faster if you have Cython installed. After installing Cython, you must reinstall Pyhfst

    pip install cython
    pip install --upgrade --force-reinstall pyhfst --no-cache-dir

# Usage

    import pyhfst
    
    input_stream = pyhfst.HfstInputStream("./analyser")
    tr = input_stream.read()
    print(tr.lookup("voi"))
    
    >> [['voida+V+Act+Ind+Prs+Sg3', 0.0], ['voida+V+Act+Ind+Prs+ConNeg', 0.0], ['voida+V+Act+Ind+Prt+Sg3', 0.0], ['voida+V+Act+Imprt+Prs+ConNeg+Sg2', 0.0], ['voida+V+Act+Imprt+Sg2', 0.0], ['voi+N+Sg+Nom', 0.0], ['voi+Pcle', 0.0], ['voi+Interj', 0.0]]

# Citation

Please cite the library as follows:

Alnajjar, K., & Hämäläinen, M. (2023, December). PYHFST: A Pure Python Implementation of HFST. In Lightning Proceedings of NLP4DH and IWCLUL 2023 (pp. 32-35).

    @article{pyhfst_2023, 
        title={PyHFST: A Pure Python Implementation of HFST},
        author={Alnajjar, Khalid and H{\"a}m{\"a}l{\"a}inen, Mika},
        booktitle={Lightning Proceedings of NLP4DH and IWCLUL 2023},
        pages={32--35},
        year={2023} 
    }

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/Rootroo-ltd/pyhfst",
    "name": "pyhfst",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "hfst, fst, optimized lookup, hfstol, transducers",
    "author": "Khalid Alnajjar and Mika H\u00e4m\u00e4l\u00e4inen",
    "author_email": "hello@rootroo.com",
    "download_url": "https://files.pythonhosted.org/packages/13/1c/352397d70827664eb887be8daeaa0be5709e7da53c106d71cb8cae73e0ae/pyhfst-1.3.0.tar.gz",
    "platform": null,
    "description": "# Pyhfst\n\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7791470.svg)](https://doi.org/10.5281/zenodo.7791470)\n\nPyhfst is a pure Python implementation of HFST. The library makes it possible to use HFST optimized lookup FSTs without any C dependencies. Both weighted and unweighted FSTs are supported.\n\nThe library will run on all operting systems that support Python 3.\n\n# Installation\n\n    pip install pyhfst\n    \nPyhfst can run way faster if you have Cython installed. After installing Cython, you must reinstall Pyhfst\n\n    pip install cython\n    pip install --upgrade --force-reinstall pyhfst --no-cache-dir\n\n# Usage\n\n    import pyhfst\n    \n    input_stream = pyhfst.HfstInputStream(\"./analyser\")\n    tr = input_stream.read()\n    print(tr.lookup(\"voi\"))\n    \n    >> [['voida+V+Act+Ind+Prs+Sg3', 0.0], ['voida+V+Act+Ind+Prs+ConNeg', 0.0], ['voida+V+Act+Ind+Prt+Sg3', 0.0], ['voida+V+Act+Imprt+Prs+ConNeg+Sg2', 0.0], ['voida+V+Act+Imprt+Sg2', 0.0], ['voi+N+Sg+Nom', 0.0], ['voi+Pcle', 0.0], ['voi+Interj', 0.0]]\n\n# Citation\n\nPlease cite the library as follows:\n\nAlnajjar, K., & H\u00e4m\u00e4l\u00e4inen, M. (2023, December). PYHFST: A Pure Python Implementation of HFST. In Lightning Proceedings of NLP4DH and IWCLUL 2023 (pp. 32-35).\n\n    @article{pyhfst_2023, \n        title={PyHFST: A Pure Python Implementation of HFST},\n        author={Alnajjar, Khalid and H{\\\"a}m{\\\"a}l{\\\"a}inen, Mika},\n        booktitle={Lightning Proceedings of NLP4DH and IWCLUL 2023},\n        pages={32--35},\n        year={2023} \n    }\n",
    "bugtrack_url": null,
    "license": "Apache-2.0",
    "summary": "A pure Python implementation of HFST for using HFST optimized lookup transducers (with or without weights)",
    "version": "1.3.0",
    "project_urls": {
        "Bug Reports": "https://github.com/Rootroo-ltd/pyhfst/issues",
        "Developer": "https://rootroo.com/",
        "Homepage": "https://github.com/Rootroo-ltd/pyhfst"
    },
    "split_keywords": [
        "hfst",
        " fst",
        " optimized lookup",
        " hfstol",
        " transducers"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "e002c10a69ff21d6679a6b6e28c42cd265bec2cdd9be3dcbbee830a10fa4b0e5",
                "md5": "6ac63913b6ca9a85d789aaee23a301a0",
                "sha256": "41f78b1c1d034ea57fd9d21fe152d629d9f97fdcddb0411628e18578f33b8ba8"
            },
            "downloads": -1,
            "filename": "pyhfst-1.3.0-py2.py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "6ac63913b6ca9a85d789aaee23a301a0",
            "packagetype": "bdist_wheel",
            "python_version": "py2.py3",
            "requires_python": null,
            "size": 27314,
            "upload_time": "2024-03-26T20:28:46",
            "upload_time_iso_8601": "2024-03-26T20:28:46.516278Z",
            "url": "https://files.pythonhosted.org/packages/e0/02/c10a69ff21d6679a6b6e28c42cd265bec2cdd9be3dcbbee830a10fa4b0e5/pyhfst-1.3.0-py2.py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "131c352397d70827664eb887be8daeaa0be5709e7da53c106d71cb8cae73e0ae",
                "md5": "9f4bb22ba38d71da83390587f4b27e3e",
                "sha256": "47c95265a963b0e95a8ed21518ea2c8dc49b1a235d0e30044419a086b3b7c185"
            },
            "downloads": -1,
            "filename": "pyhfst-1.3.0.tar.gz",
            "has_sig": false,
            "md5_digest": "9f4bb22ba38d71da83390587f4b27e3e",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 22015,
            "upload_time": "2024-03-26T20:28:35",
            "upload_time_iso_8601": "2024-03-26T20:28:35.723157Z",
            "url": "https://files.pythonhosted.org/packages/13/1c/352397d70827664eb887be8daeaa0be5709e7da53c106d71cb8cae73e0ae/pyhfst-1.3.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-03-26 20:28:35",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "Rootroo-ltd",
    "github_project": "pyhfst",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "pyhfst"
}
        
Elapsed time: 0.75402s