Abstract: A method and system for personalizing standard data-processing applications for utilization by diverse data-processing application users. Initially, data which includes a group of human language files, is stored within a source directory within a data-processing system. Next, the presence of the group of human language files is automatically detected within the source directory in response to loading general system data into a working directory wherein at least one human language file among the group of human language files corresponds to a preset human language setting for the data-processing system. Thereafter, the human language file which corresponds to the preset human language setting is loaded into the working directory from the source directory. Next, the general system data is configured with the human language file which corresponds to the preset human language setting such that the general system data is now personalized to the human language of the user of the data-processing system.