Abstract:
Although the numbers of researches are
increased in natural language processing, the
development of grammar checking system for
Myanmar language is very few. Much of the researches
in checking area depends on hand-crafted rules and
focuses on certain error types. However, the manual
process of creation of rules is costly, time-consuming
and error-prone. It seems therefore advisable to use
machine-learning algorithms to create the rules
automatically. In this paper, we describe a system for
correcting Myanmar preposition errors automatically
and non-native writers often make these errors. A
decision tree algorithm (DT) is applied for automatic
template generation of preposition errors using
Myanmar Text Corpus. Correct Sentences in the
corpus increase the performance of the method. The
method works automatically, does not require problem
domain expert to build these rule and can be applied to
Myanmar language text.
