pyconcepticon 2.0.1

programmatic access to concepticon-data

pyconcepticon

Installation

pyconcepticon can be installed from PyPI running

pip install pyconcepticon

Note that pyconcepticon requires a clone or export of the concepticon data repository.

Usage

To use pyconcepticon you must have a local copy of the Concepticon data, i.e. either

• the sources of a released version, as provided in the Downloads section of a release, or
• a clone of this repository (or your personal fork of it).
• or a released version of the data as archived on ZENODO.

Python API

Assuming you have downloaded release 1.2.0 and unpacked the sources to a directory clld-concepticon-data-41d2bf0, you can access the data as follows:

>>> from pyconcepticon import Concepticon
>>> api = Concepticon('clld-concepticon-data-41d2bf0')
>>> conceptlist = list(api.conceptlists.values())[0]
>>> conceptlist.author
'Perrin, Loïc-Michel'
>>> conceptlist.tags
['annotated']
>>> len(conceptlist.concepts)
110
>>> list(conceptlist.concepts.values())[0]
Concept(
    id='Perrin-2010-110-1', number='1', concepticon_id='1906', concepticon_gloss='SOUR', gloss=None, 
    english='ACID', attributes={'german': 'sauer', 'french': 'acide'}, 
    _list=Conceptlist(
        _api=<pyconcepticon.api.Concepticon object at 0x7f31693be518>, 
        id='Perrin-2010-110', author='Perrin, Loïc-Michel', year=2010, list_suffix='', items=110, 
        tags=['annotated'], source_language=['english', 'french', 'german'], 
        target_language='Global', 
        url='https://journals.dartmouth.edu/cgi-bin/WebObjects/Journals.woa/xmlpage/1/article/353?htmlOnce=yes', 
        refs=['Perrin2010'], pdf=['Perrin2010'], 
        note='This list was used as an initial questionnaire for colexification studies on a world-wide sample of languages.', 
        pages='276f', alias=[], local=False))

Command line interface

Having installed pyconcepticon, you can also directly query concept lists via the terminal command concepticon. For example, to learn about the intersection between two or more lists, you can type:

$ concepticon --repos=clld-concepticon-data-41d2bf0 intersection Swadesh-1955-100 Swadesh-1952-200

This yields an output of 93 lines, which look as follows:

 69  SKIN                    [763 ] SKIN (HUMAN) (1, Swadesh-1952-200)
 70  SLEEP                   [1585]
 71  SMALL                   [1246]
 72  SMOKE (EXHAUST)         [778 ]

The output can interpreted as follows: The first number shows the number in the intersection of items (alphabetically ordered, following the Concepticon gloss). The Concepticon gloss is shown as a next item. If it is preceded by an asterisk, this means that the mapping was not complete, as it involves concept relations. The alternative concept sets are then listed in the end of the line. The number in squared brackets indicates the Concepticon concept set ID.

You can use the same technique with the command "union", to obtain the union of two concept lists.

To create a user interface which allows you to explore concepticon concepts in the browser, run

$ concepticon --repos=clld-concepticon-data-41d2bf0 app