Abstract:
Natural Language Processing (NLP) is one of
the most important research areas in Human
Language. One of the challenges in Natural Language
Processing (NLP) is to resolve ambiguous homonyms
or homonym errors in sentences. Myanmar Homonym
Disambiguation System is the kind of Word Sense
Disambiguation System in Natural Language
Processing. This system is needed for Myanmar Word
Segmentation and Spell Checker System. If the
sentence contains incorrect homonyms, this sentence
cannot be segmented correctly. Moreover, incorrect
usage of homonyms is a common problem in Myanmar
to English translation. In this paper, Myanmar
Homonym Disambiguation System has been
described. This system detects homonym errors or
ambiguous homonyms and then resolves these errors
by using Corpus-Based N-Gram Model. Myanmar
Text Corpus is also needed in calculation of N-Gram
Model for this system. After resolving homonym
errors, the system will output the sentence with correct
homonyms.
