Syntactic Analysis of Myanmar Language

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.