Model of process and model of natural language processing system

Abstract

Abstract Natural language processing is the set of methods for making human language accessibility from computers. An approach that facilitates search in database even for casual non-technical literate users is to use a natural language interface (IEE) for databases. It is important for these IEEs to be intelligent and reliable enough to interpret the most complex sentences most intelligently and effectively enough to deliver results in the shortest possible time. The advantage of natural language interfaces is that they are accessible to a wide range of end users in order to “speak” to the database. Introduction. The solution to the problem of natural-language understanding can be accomplished in two steps: linguistic and database processing. In the first stage of language processing, the natural language query is linked and translated to the corresponding SQL query by appropriate production rules, methods and functions. In the second processing stage, the database is accessed and manipulated and the SQL query is executed by the system. The study presents a research in the field of computational linguistics on a theoretical process model and a natural language processing system model. The process model itself represents knowledge and reflects the conceptual organization of human memory, as well as its flexibility and clarity.