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concepticon / concepticon-data

The curation repository for the data behind Concepticon.
https://concepticon.clld.org
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BLESS-Data on semantic associations #27

Closed LinguList closed 4 years ago

LinguList commented 9 years ago

The bless dataset offers some interesting semantic associations (hyperonomy, etc.) for 200 concrete words.

The data may be interesting for the concepticon, since it offers additional accounts on semantic relations between words/concepts.

AnnikaTjuka commented 4 years ago

Based on the original data, I'd pivot the list so that each word occurs only once, like this:

ENGLISH POS SEMANTIC_CLASS ATTRIBUTES COORDINATE EVENT HYPERONYM MERONYM RANDOM
alligator n amphibian_reptile aggressive, aquatic, big, carnivorous, dangerous, ferocious, frightening, green, heavy, hungry, large, long, old, scary, wild, young crocodile, frog, lizard, snake, toad, turtle attack, bask, breathe, chase, die, drink, eat, frighten, hide, hunt, kill, live, poach, run-, shoot, sleep, swim, walk animal, beast, carnivore, chordate, creature, predator, reptile, vertebrate eye, foot, jaw, leg, mouth, scale, skin, tail, tooth cardiac, constructive, electronic, experienced, impulsive, likely, minimum, possible, previous, social, syntactic, twin, unbelievable, addition, alternative, answer, arrears, clone, contestant, continent, courthouse, dock, handgun, message, methyl, recombination, rectifier, st, teenager, trombone, vitro, administer, admire, conclude, enable, experience, fetch, find, implement, label, propel, redesignated, remember, root, unfurl, view, warn

Does this structure make sense?

LinguList commented 4 years ago

Yes. The separator inside the cell would then be a , (comma and space). This can be added as description to the metadata.json, but I keep forgetting how this is expressed. But there is a description on cldf.clld.org, since this is the format we also use for our Segments (but with simple space as separator.