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SEMANTIC REPRESENTATION FORMS OF NATURAL LANGUAGE SENTENCES

The paper proposes a framework for sentence transformation module used in natural language processing. The transformation module performs mapping between the different information representation forms. The work focuses on two intermediate models, the role of predicate calculus formalism and the role of conceptual graph called ECG are investigated in details. Both models provide a semantic-based, language independent description of the environment. To demonstrate the functionality of the transformation module, the paper presents a pilot project that translates the sentences in Hungarian language into API function calls within a specific application domain.