A research collaboration among Alan Bale (Concordia University), Jessica Coon (McGill) and Maria Polinsky (Harvard University) was among the 14 Digging Into Data Challenge winners this year. The COULD Project (Cleaning, Organizing, and Uniting Linguistic Databases) seeks to create a universal format for existing linguistic databases and automate the detection of errors and inconsistencies. The project hopes to make these databases more reliable and accessible to both researchers and the general public.
This is the second Digging into Data Grant with a McGill linguistics connection: Michael Wagner‘s collaborative project was awarded in the first round of Digging into Data in 2009.