Statistical Function Tagging and Grammatical Relations of Myanmar Sentences

TL;DR

This paper presents a CFG-based grammatical relation system for Myanmar sentences, integrating corpus-based function tagging and Bayesian disambiguation to handle free-phrase order and complex morphology.

Contribution

It introduces a novel combination of CFG and corpus-based function tagging with Bayesian disambiguation for Myanmar sentence analysis.

Findings

Achieved good results on simple sentences

Effective analysis of complex sentences

Created a functional annotated corpus

Abstract

This paper describes a context free grammar (CFG) based grammatical relations for Myanmar sentences which combine corpus-based function tagging system. Part of the challenge of statistical function tagging for Myanmar sentences comes from the fact that Myanmar has free-phrase-order and a complex morphological system. Function tagging is a pre-processing step to show grammatical relations of Myanmar sentences. 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 of the function tags. We also create a functional annotated tagged corpus for Myanmar and propose the grammar rules for Myanmar sentences. Experiments show that our analysis achieves a good result with simple sentences and complex sentences.