AN INTELLIGENT ADAPTIVE AND EXTENSIBLE SGML TRANSFORMER GENERATOR PARSER AND COMPILER

WE PROPOSE RESEARCHING THE CREATION OF A COMPUTER SOFTWARE SYSTEM THAT WOULD: TRANSFORM EXISTING FINISHED FORM TEXT FILES INTO SGML TAGGED TEXT FILES; GENERATE SGML TAGGED TEXT FILES FROM MANUALLY ENTERED TEXT; PARSE SGML TAGGED TEXT FILES TO DETERMINE WHETHER OR NOT THEY ARE SYNTACTICALLY CORRECT; COMPILE SGML TAGGED TEXT FILES INTO SGML TAGGED TEXT FILES HAVING FULLY QUALIFIED GENERIC IDENTIFIERSAND WITH MINIMIZATION REMOVED. MAJOR INNOVATIONS INCLUDE HAVING THE SYSTEM: STORE BOTH THE SGML RULES AND THE DOCUMENT TYPE DEFINITIONS IN A WAY THAT WOULD EASILY ALLOW ONE TO MODIFY THEM; DETERMINE HOW TO CONVERT INPUT TEXT INTO AN SGML TAGGED TEXT FILE, BASE ON INFORMATION OBTAINED FROM THE USER AND ON THE APPLICATION OF KNOWLEDGE THAT THE SYSTEM HAS ACQUIRED FROM THE INPUT TEXT ITSELF AND FROM PREVIOUS CONVERSION EXPERIENCES; ALLOW A WIDE VARIETY OF TYPES OF FINISHED FORM TEXT INPUT; ACCOMMODATE VARYING LEVELS OF USER EXPERTISE AND VARYING AMOUNTS OF AVAILABLE INFORMATION.