Abstract:
Spell checker is an essential component of
word processing, Machine Translation system
and Office Automation system. Myanmar
Pronunciation and orthography has differences
because spelling is often not an accurate
reflection of pronunciation. Pronunciation of a
word may lead to misspelling. Beside, in
Myanmar compound words, the next word
depends on the previous meaning of the word. In
this paper, we propose a phonetic error checking
algorithm for Myanmar compound words.
Firstly, we segment the sentence with longest
matching approach. Secondly, we check phonetic
error with the proposed algorithm by applying
Myanmar corpus. Finally, the system provide
suggestion list which contains the correct
compound word by computing string cosine
similarity. Experimental results showed that
proposed approach achieves 88% precision for
testing input.
