TLA Lecture Series on E-Humanities

Starting this semester The Language Archive (TLA) of the MPI for Psycholinguistics will organize a new lecture series in the broad area of E-Humanities.

These lectures are open to everybody who is interested.


Speaker: Mike Kestemont (University of Antwerp)
Title: The Weight of the Author — Quantitative Authorship Attribution in Medieval Dutch Literature

Mike Kestemont is a PHD student at the University of Antwerp, where he is affiliated with the CLiPS language technology group and the medieval group of the Institute for the Study of Literature in the Netherlands (ISLN). His research focuses on the (computational) analysis of historical literature in the field of traditional stylistics in semi-literate cultures (e.g. Middle Dutch epic poetry).

Date, time: May 9, 2012, 10:30-11:30.
Location: MPI for Psycholinguistics, conference room 163

Speaker: Antal van den Bosch (Radboud University Nijmegen)
Title: Big Linguistic Data

Antal van den Bosch is professor of example based language modeling at the Centre for Language Studies of the Radboud University Nijmegen. His research focuses on the intersection of computational understanding of language and computational generation of language.

Date, time: June 6, 2012, 14:30-15:30
Location: MPI for Psycholinguistics, conference room 163

Speaker: Alexander Mehler (Goethe University Frankfurt am Main)
Title Linguistic Networks: Text-technological Representation and Quantitative Analysis

Alexander Mehler is professor at the text technology lab of the Goethe University in Frankfurt am Main. His research focuses on quantitative computational methods, for instance on semantics, multimodal corpora, and parallel corpora.

Date, time: July 11, 2012, 14:30-15:30
Location: MPI for Psycholinguistics, conference room 163

The lectures are free of charge and open to the public. If you wish to attend please send an e-mail to

Due to unforeseen circumstances, lectures can be cancelled at short notice. It is therefore advisable to confirm dates : +31-(0)24-3521911.