The default examples presented below ▽ illustrate the principle by listing the most productive concepts among the 30,000+ that are featured in our database, i.e. the ones with the most neighbours in our database.
By clicking on the column heads, you can rank the list based on which concepts are linked to the greatest number of #etyma on 𝓔𝓿𝓸Sem; or which concepts have the greatest number of translations (#words) in our database.

For each concept chosen (leftmost column), you can click on a number and view the list of neighbours, etyma, or words, associated with that source concept. Incidentally, this means that you can also use 𝓔𝓿𝓸Concepts as a worldwide etymological dictionary (through #etyma), or as a multilingual lexicon (through #words).

In the column neighbours, under every given source concept (sense1), every neighbour (sense2) can also be expanded, to display the list of etyma that dialexify these two senses 1 and 2. The number of etyma for every pair of concepts constitutes the “dialexification score” (δ delta) of that pair; neighbours are ranked according to that score.

For example, in the picture above (click on screenshot to open it in a new tab), we see that among the 81 semantic neighbours of the source concept easy, the fourth one (with δ=4) is cheap. Clicking on that word displays the 4 etyma that dialexify the pair of concepts easy—cheap: e.g. Proto-Indo-European *péh₂u-ros, etc.

Every etymon cited – either under #etyma or under #neighbours – can be clicked to access its etymograph.