getcl


Namegetcl JSON
Version 0.1 PyPI version JSON
download
home_pagehttps://github.com/lingpy/getcl/
SummaryPython Package for the Mapping of Conceptlists
upload_time2024-04-07 20:32:10
maintainerNone
docs_urlNone
authorJohann-Mattis List
requires_python>=3.6
licenseMIT
keywords word prediction
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # `getcl`: Mapping Lexical Data from CLDF Dictionaries to Wordlists

`getcl` offers the code for mapping lexical data from a CLDF dictionary to a wordlist as described in the following paper:

> Blum, Frederic and Englisch, Johannes and Hermida Rodriguez, Alba and van Gijn, Rik and List, Johann-Mattis (2024). To be published in the Proceedings of the 2nd Meeting of the ELRA/ISCA Special Interest Group on Under-Resourced Languages.

To install the tool, just clone this repository and then type:

```
pip install -e .
```

This will provide a new command `conceptlist` that you can use to map concepts in the sense descriptions of a dictionary to Concepticon.

To test the package, you can just run the following code:

```
$ git clone https://github.com/dictionaria/kalamang.git
$ conceptlist --data kalamang/cldf/cldf-metadata.json --conceptlist Swadesh-1955-100 --output kalamang.tsv | wc -l
```
The output should be 197. This means that 196 matches for the 100 concepts of Swadesh's concept list could be identified. To get a useful concept list of these matches (that contain duplicates and potential errors), you would not look at the file `kalamang.tsv` and modify it manually to arrive at a Swadesh list derived from the dictionary.

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/lingpy/getcl/",
    "name": "getcl",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.6",
    "maintainer_email": null,
    "keywords": "word prediction",
    "author": "Johann-Mattis List",
    "author_email": "mattis.list@uni-passau.de",
    "download_url": "https://files.pythonhosted.org/packages/a4/f1/3b73169d2173c42c9c7131b9734419283aed2e7e550b1138bc9ab1c14b9e/getcl-0.1.tar.gz",
    "platform": "any",
    "description": "# `getcl`: Mapping Lexical Data from CLDF Dictionaries to Wordlists\n\n`getcl` offers the code for mapping lexical data from a CLDF dictionary to a wordlist as described in the following paper:\n\n> Blum, Frederic and Englisch, Johannes and Hermida Rodriguez, Alba and van Gijn, Rik and List, Johann-Mattis (2024). To be published in the Proceedings of the 2nd Meeting of the ELRA/ISCA Special Interest Group on Under-Resourced Languages.\n\nTo install the tool, just clone this repository and then type:\n\n```\npip install -e .\n```\n\nThis will provide a new command `conceptlist` that you can use to map concepts in the sense descriptions of a dictionary to Concepticon.\n\nTo test the package, you can just run the following code:\n\n```\n$ git clone https://github.com/dictionaria/kalamang.git\n$ conceptlist --data kalamang/cldf/cldf-metadata.json --conceptlist Swadesh-1955-100 --output kalamang.tsv | wc -l\n```\nThe output should be 197. This means that 196 matches for the 100 concepts of Swadesh's concept list could be identified. To get a useful concept list of these matches (that contain duplicates and potential errors), you would not look at the file `kalamang.tsv` and modify it manually to arrive at a Swadesh list derived from the dictionary.\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Python Package for the Mapping of Conceptlists",
    "version": "0.1",
    "project_urls": {
        "Homepage": "https://github.com/lingpy/getcl/"
    },
    "split_keywords": [
        "word",
        "prediction"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "97eeca021e69d42a712425053850c3c3e962f2a623949460c7cca007673ee289",
                "md5": "e4c459f0c65acabe6db03dd764d55093",
                "sha256": "ec65367eb3b187a9332e2f50b54bda008d76732e0184e95d9ce92c9034a3c5ef"
            },
            "downloads": -1,
            "filename": "getcl-0.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "e4c459f0c65acabe6db03dd764d55093",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.6",
            "size": 4053,
            "upload_time": "2024-04-07T20:32:27",
            "upload_time_iso_8601": "2024-04-07T20:32:27.837561Z",
            "url": "https://files.pythonhosted.org/packages/97/ee/ca021e69d42a712425053850c3c3e962f2a623949460c7cca007673ee289/getcl-0.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "a4f13b73169d2173c42c9c7131b9734419283aed2e7e550b1138bc9ab1c14b9e",
                "md5": "65fa74eeba8cdc22f43b676544a73590",
                "sha256": "2482768a66e0c209b31ef4346511f1e31e8935911845579ab863deeea8084391"
            },
            "downloads": -1,
            "filename": "getcl-0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "65fa74eeba8cdc22f43b676544a73590",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.6",
            "size": 4100,
            "upload_time": "2024-04-07T20:32:10",
            "upload_time_iso_8601": "2024-04-07T20:32:10.014663Z",
            "url": "https://files.pythonhosted.org/packages/a4/f1/3b73169d2173c42c9c7131b9734419283aed2e7e550b1138bc9ab1c14b9e/getcl-0.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-04-07 20:32:10",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "lingpy",
    "github_project": "getcl",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "getcl"
}
        
Elapsed time: 0.26005s