Query Expansion for Myanmar Information Retrieval Used by WordNet

Myanmar information retrieval (MIR) is the system of searching for the information in a document, searching for documents themselves, and also searching for texts in databases, which is written in Myanmar language. Unfortunately, many problems remain in MIR, such as word segmentation, indexing, semantic ambiguous words and many others. This paper proposes a method of semantic query expansion by using WordNet to resolve semantic ambiguous words problem in MIR. The experimental results showed improvements in evaluating information retrieval potential for the Burmese language with 65.4% precision, 78.9%recall and 70.96% F-measure.