XLL - Code - Publications - Data Mining - Survey

Language Mining on GitHub for Co-Occurring Languages

This page contains the supplementary data (with the R script) as well as the Java code for our EASE 2015 paper.

You can find a README in each of the ZIPs which explain the contents.

A copy of the 1150 projects used can be found here (24GB).

We are situated at LMU University in Munich, Germany. Please contact Dr. Philip Mayer for more information.