An Interactive System for Transparent Etymological Analysis
The Cross-Linguistic Data Formats initiative (Forkel et al. 2016, http://cldf.clld.org) aims at increasing the comparability of cross-linguistic. It comes along with:
As of now, a couple of software tools (LingPy, Beastling, EDICTOR) support CLDF. In the future, we hope that the number of users will increase, and that the community helps to develop the formats further.
The Concepticon is an attempt to link the large amount of different concept lists which are used in the linguistic literature, ranging from Swadesh lists in historical linguistics to naming tests in clinical studies and psycholinguistics.
This resource, our Concepticon, links concept labels from different conceptlists to concept sets. Each concept set is given a unique identifier, a unique label, and a human-readable definition. Concept sets are further structured by defining different relations between the concepts.
With the verson 1.1 of Concepticon, which will be released later in 2017, many new features become available:
The EDICTOR is a web-based tool that allows to edit, analyse, and publish etymological data. It is available as a prototype in Version 0.1 and will be further developed in the project "Computer-Assisted Language Comparison" (2017-2021). The tool can be accessed via the website at http://edictor.digling.org, or be downloaded and used in offline form. All that is needed to use the tool is a webbrowser (Firefox, Safari, Chrome). Offline usage is currently restricted to Firefox. The tool is file-based: input is not a database structure, but a plain tab-separated text file (as a single sheet from a spreadsheet editor). The data-formats are identical with those used by LingPy, thus allowing for a close interaction between automatic analysis and manual refinement.
The EDICTOR structure is modular, consisting of different panels that allow for:
We have aggregated a larger set of different languages and concepts, but we now decided on a subset of
Analysis of cognate sets by Laurent and Guillaume so far gave the following statistics:
We need to
Thanks for Your Attention!