Abstract:
With the Covid-19 outbreak, e-learning has
become the ‘new normal’ with many universities and
institutions adopting online platforms to deliver their programs.
One aspect of this that has posed many challenges is in
conducting written examinations. This is mainly because it has
become increasingly difficult to verify the identity of individuals
sitting for an examination remotely. The primary objective of
this research is to address this problem by developing a
Language Model that can be used in authorship identification
for online examinations conducted in Sinhala. Essentially, the
idea is that by training a language model solely on the writings
of a given author, it is possible to determine the likelihood
(probability) of an entirely new piece of writing having been
written by that author. It was found that a character-level
language model can be used to identify the author of whose
writings it was trained, using the concept of perplexity.
