The Following matlab program is made to run in Matlab 2010 or newer as it utilizes the build in SVM Package.

The main script performing all classification is attrib.m the path to the main folder containing all classification classes (authors/translators) in their own subfolder must be stated in line 2. This path must also be stated in file "readauthor" where it says "path to authors\".
The feature lists in form of Words or frame names to use must be available in program folder or stated explicitly in lines 7 and 8.
The names of the sub folders corresponding to classification classes must be stated as a list in variable "authors". (lines 15-18 for examples).

Frames.txt contains the name of the FrameNet frames to use for classification.

freqwords400.txt should contain the 400 most frequent words according to BNC, but is not included due to copyright reason, please check the paper for reference, in order to obtain it.
If other words are to be used for classification they can be stated here.