SEMANTIC AMBIGUOUS QUERY FORMULATION USING STATISTICAL LINGUISTICS TECHNIQUE

Natural language query systems hide the complexity of the structured query. Usually, natural language processing is implemented in order to solve several problems such as information retrieval. However, due to complexity of natural language, problems such as natural language ambiguity remains unsolved. This issue becomes the area that remains subject to research. There are recent researches on semantic query formulation attempt to resolve ambiguous natural language by proposing difference disambiguation approaches. Most of disambiguation processes are either done manually or semiautomated. In the same vein, most of the recent systems solve the ambiguity by using external dictionary such as WordNet or by providing suggestion manually. This paper will explain the proposed statistical linguistics technique to solve the problem of ambiguity automatically. Some experiment has been done towards semantic ambiguous query using proposed method and it is proven increase the ability of information retrieval system to retrieve