Automated dating of the world language families what is liquidating your assets
Automated classification of the world's languages: A description of the method and preliminary results. How to use typological databases in historical linguistic research. Holman, Eric W., Christian Schulze, Dietrich Stauffer, and Søren Wichmann. On the relation between structural diversity and geographical distance among languages: observations and computer simulations.
In: Terttu Nevalainen and Elizabeth Closs Traugott (eds). Brown, Søren Wichmann, André Müller, Viveka Velupillai, Harald Hammarström, Sebastian Sauppe, Hagen Jung, Dik Bakker, Pamela Brown, Oleg Belyaev, Matthias Urban, Robert Mailhammer, Johann-Mattis List, and Dmitry Egorov. Automated dating of the world’s language families based on lexical similarity.
Figure: A succesful simulation of the distribution of speaker populations (filled circles) compared with the empirical distribution (open circles) and a simulation with different parameter settings (line)In applying computational and statistical methods to large lexical and typological dataset and supplementing empirical data with computer simulations, we tried to address questions such as: How fast do different elements of language change?
How can we classify all of the world's languages consistently?
(For the proceedings of the Workshop on Comparing Approaches to Measuring Linguistic Differences, Gothenburg, Oct.
Languages with longer words have more lexical change.