LINGUISTIC COMPUTATION DIAGRAMS FOR NATURAL LANGUAGE INTERFACES

THIS PROPOSED PROJECT PROVIDES INTEGRATED METHODOLOGY FOR DEVELOPING NATURAL LANGUAGE INTERFACES (NLIS). USING CURRENT LINGUSTICS (X-BAR THEORY AND AUGMENTED PHRASE STRUCTURE GRAMMARS) AND ARTIFICIAL INTELLIGENCE (STRUCTURES, FRAMES AND CONNECTIONS) RESEARCH, IT ENCOMPASSES INNOVATIVE (1) CODELESS-PROGRAMMING DEVELOPMENTAL TOOLS FOR BUILDING NLIS, (2) THE OPTION OF PARALLEL PROCESSING FOR EFFICIENT SEMANTIC INTERPRETATION, AND (3) A DECLARATIVE PROGRAMMING APPROACH TO ACCURATE DISAMBIGUATION. 1. LINGUISTIC COMPUTATION DIAGRAMS (LCDS) ARE REPRESENTATIONS OF DATA AND CONTROL FLOW WHICH NATURALLY MAINTAIN DATA-TYPING AND FUNCTIONAL PROGRAMMING DISCIPLINE. SPECIAL DIAGRAM MACROS CALLED STRUCTURE-GATES (ANALOGOUS TO DIGITAL LOGIC CIRCUITS) REPRESENT CONDITIONAL ACTIONS CONNECTING SYNTACTIC AND SEMANTIC STRUCTURE COMPUTATIONS. 2. SPEED OF SEMANTIC INTERPRETATION WOULD BE INCREASED BY PARALLEL COMPUTATION. UNTIL THERE IS A PARALLEL NLI PLUG-IN BOARD, THE DIAGRAM INTERPRETER WILL BE A SERIAL SIMULATION OF THE INTRINSICALLY PARALLEL COMPUTATION REPRESENTED BY AN LCD. 3. ACCURACY OF REAL-TIME SEMANTIC INTERPRETATION COULD BE THE MOST IMPORTANT BENEFIT OF THE PROLOG BASED DECLARATIVE DISAMBIGUATION TECHNIQUE, WHICH ATTEMPTS TO ELIMINATE HYPOTHETICAL INTERPRETATIONS BY SEARCHING IN THE KNOWLEDGE STRUCTURE FOR CONTRADICTIONS.