DILVI — A platform to build language training simulations
J. K. Dilunika, S. P. Wimalarathne · 2013
This paper introduces DILVI: an abstract OSGI based framework which enables the developers and researchers to focus more on advanced pluggable modules such as Speech Recognition, Automatic Language Assistance and Student Evaluations rather than concentrating on the underlying framework while developing language training simulations. The evaluation of DILVI has proven to be a successful as it has shown 70% reduction of development efforts significantly.