Abstract:
The task of identifying syntactic components
is one of the fundamental tasks in natural
language processing. The syntactic structure of
every language is organized in terms of subject,
object, and other grammatical functions, most of
which are familiar from traditional grammatical
work. We propose a syntactic analyzer for
Myanmar language. Our syntactic analysis has
two steps: function tagging and grammatical
relation. We identify the function tag sets for
Myanmar language and function tagging is a
preprocessing step to show grammatical
relations of Myanmar sentence. In the task of
function tagging, which tags the function of
Myanmar sentences with correct segmentation,
POS (part-of-speech) tagging and chunking
information, we use Naive Bayesian theory to
disambiguate the possible function tags of a
word. We apply context free grammar (CFG) to
find out the grammatical relations. Experiments
show that our analysis achieves a good result
with simple sentences and complex sentences.
