The paper reviews the hurdles while trying to implement the OLAC extension
for Dravidian / Indian languages. The paper further explores the possibilities
which could minimise or solve these problems. In this context, the Chinese
system of text processing and the anusaaraka system are scrutinised.
OLAC was founded in 2000 for creating online databases of language resources.
This paper intends to review the bottom-up distributed character of the project
and proposes an extension of the architecture for Dravidian languages. An
ontological structure is considered for effective natural language processing
(NLP) and its advantages over statistical methods are reviewed