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 Course G.3
 Teacher: Michael Cysouw [more] (MPI EVA)
 Course title: The analysis of typological data

 Room:  Vortragsraum UB
 Sessions: Mo 27/3 09.00-10.30, 11.00-12.30; Tu 28/3 09.00-10.30, 11.00-12.30

There are two generally accepted methods for the analysis of typological data: implicational universals and semantic maps. In this  course, we will first analyze these methods, and discuss their merits and shortcomings. Second, we will study other kinds of analyses that can be used to supplement them. Measures for 'significance of interaction' can be used to supplement implicational universals. A fancy method called 'multidimensional scaling' can be used to enhance semantic maps. Further, various approaches to 'hierarchical clustering' can also help to find generalizations in the large amounts of data that are amassed in typological investigations.

To make these new concept more accessible, real data from typological studies will be used to illustrate them. It would be ideal if some participants have typological data from their own research, which could be used for illustration during the course. Please contact  Michael Cysouw <cysouw(at-sign)> in advance when you are willing to make your data available for this course. Maybe we can find some interesting generalizations in your data!

Course reading: Cysouw, M. (forthcoming). Quantitative methods in typology, in G. Altmann, R. Köhler, and R. Piotrowski, eds.,  Quantitative Linguistics: An International Handbook: Berlin, Mouton  de Gruyter.

Manuscript available at