Category Archives: Dataset

Representing Structural Data in CLDF

The Cross-Linguistic Data Formats initiative (CLDF, https://cldf.clld.org, Forkel et al. 2018) has helped a lot in preparing the CLICS² database of cross-linguistic colexifications (https://clics.lingpy.org, List et al. 2018), since linking our data to Concepticon (https://concepticon.clld.org, List et al. 2016) and Glottolog (https://glottolog.org, 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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Cooking with CLICS

Robert Forkel just published a very nice cookbook example for our CLICS database (List et al. 2018f, http://clics.clld.org), where you can find out how to manipulate the data further, apart from just installing it and running it to replicate our analyses.

This cookbook tells you how the underlying SQLITE database is structured and how you can, after installing CLICS and the respective packages, access the data to conduct studies of your own.

As a little example of what you can do with the new CLICS API, let me illustrate in this post, how we can use the old CLICS data (underlying the version 1.0 by List et al. 2014, http://clics.lingpy.org), available from here, in the new application, specifically the standalone that we provide.

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Extracting translation data from the Wiktionary project

Wiktionary is a project for creating a multilingual, web-based free dictionary of all words in all languages. Like its sister project Wikipedia, since its inception it has been subject to criticism both in terms of its lexicographic approaches and in terms of reliability, content, procedures, and community operation (see Lepore 2006, Fuertes-Olivera 2009, Meyer 2012). Faults have also been pointed in terms of its structure which is confusing for newcomers, with parallel and unaligned information shared among the various language dictionaries, and differences in accuracy and depth among languages. Notwithstanding, data from Wiktionary is routinely employed with successful results in natural language processing and, occasionally, in linguistic research (see Otte 2011, Schlippe 2012, Medero 2009, Li 2012), as it constitutes, by far, the largest free multilingual lexical source.

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