Abstract:
Myanmar is the morphologically rich
and highly agglutinative language. The
morphologi-cal synthesizer and
analyzer are required for machine
translation of English to Myanmar
language. This paper the development of
English to Myanmar machine translation system
is implemented applying Rule based machine
translation approach. Stanford parser is used for
preprocessing step. From this step, the parser
generates parse tree structure of input sentence.
This parser generates corresponding CFG rules
which are collected and created as synchronous
context free grammar SCFG rules. CFG rules
are required for reordering the structure of
English languages. After that tree to tree
transformation is carried on the English tree
structure which corresponds with used Stanford
parser. When English parse tree is transformed
as Myanmar parse tree, it is changed according
to the SCFG rules. And then system carries out
the morphological synthesis. Particles or
classifiers (ခ ) က ၊ ကင))၊ ကfယorက M) yanmar
language can be solved in this system by
proposed classifier identification algorithm.
After finishing morphological synthesis, this system generates meaningful and appropriate
smoothing sentences.
