Representing Structural Data in CLDF

The Cross-Linguistic Data Formats initiative (CLDF,, Forkel et al. 2018) has helped a lot in preparing the CLICS² database of cross-linguistic colexifications (, List et al. 2018), since linking our data to Concepticon (, List et al. 2016) and Glottolog (, Hammarström et al. 2018) has provided incredible help in merging the different datasets into a big comparative dataset.

CLDF, however, is not restricted to lexical data, but can also be successfully used to store structural data, although — due to the nature of structural data — it is much more difficult to compare different datasets.

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