CALF is an automatic analytical tool for speech (and written, if coded properly) data analyses. Developed by Gavin Bui and Peter Skehan with the generous support from RGC Hong Kong (UGC/FDS14/H01/14 & UGC/FDS14/H13/20), CALF processes coded files and outputs a wide range of results for measures in complexity, accuracy, fluency, and lexis. For details of the coding scheme and methods, please see the How to Use section here.
Citing the project:
Bui, G. & Skehan, P. (2016). CALF: An automatic analytic tool for complexity, accuracy, lexis and fluency. Available at http://www.censpothk.com/calf/
