Abstract:
Myanmar spelling checker system is the important task in one of NLP application such as information retrieval and in most other NLP applications. This system is based on N-Gram approach for Myanmar Spelling Checker. The process is a fundamental task in document processing allowing the automated handling of documents in electronic form. One difficulty in handling some classes of documents is the presence of different kinds of textual error, such as spelling. This system must work reliably and effectively on all input and thus must tolerate some level of these kinds of problems. The aim of the paper is to understand the basic concept of N-Gram approach and to study how to check Myanmar Noun words spelling checkers with data mining approach by using N-Gram-Based approach and then to obtain accurate and relevant result with reduce time consuming. This system can be checked efficiently for Myanmar Noun words spelling.
