3. The method as claimed in claim 1 , further comprising the steps of: ga) at least once during recording of the additional language file ( 6 . 10 ) in step b), buffering a partial file of the language file ( 6 . 10 ) in the memory unit ( 1 . 20 ) of the computer system ( 1 . 30 ), gb) analyzing the buffered partial file by gba) making an individual comparison of the partial file with the dictionary file ( 2 . 20 ) by calculating the percentage frequency ( 7 . 30 ) of the words in the partial file that are contained in each category ( 2 . 10 ) of the dictionary file ( 2 . 20 ), gbb) using the set of rules ( 5 . 40 ) to process the percentage frequencies ( 7 . 30 ) calculated in step gba), wherein the set of rules ( 5 . 40 ) uses statistical and/or algorithmic methods to examine the percentage frequencies ( 7 . 30 ) calculated in step gba) for similarities with the percentage frequencies ( 3 . 40 ) calculated in step ac), and classifies the partial file according to the established similarities and associates said file with at least one known characteristic belonging to the different people from whom the reference language files ( 1 . 10 ) originate, gc) creating an interim output file, which contains characteristics ( 4 . 20 ) associated with the partial file in step gbb), and gd) outputting the interim output file.
3. The method as claimed in claim 1 , further comprising the steps of: ga) at least once during recording of the additional language file ( 6 . 10 ) in step b), buffering a partial file of the language file ( 6 . 10 ) in the memory unit ( 1 . 20 ) of the computer system ( 1 . 30 ), gb) analyzing the buffered partial file by gba) making an individual comparison of the partial file with the dictionary file ( 2 . 20 ) by calculating the percentage frequency ( 7 . 30 ) of the words in the partial file that are contained in each category ( 2 . 10 ) of the dictionary file ( 2 . 20 ), gbb) using the set of rules ( 5 . 40 ) to process the percentage frequencies ( 7 . 30 ) calculated in step gba), wherein the set of rules ( 5 . 40 ) uses statistical and/or algorithmic methods to examine the percentage frequencies ( 7 . 30 ) calculated in step gba) for similarities with the percentage frequencies ( 3 . 40 ) calculated in step ac), and classifies the partial file according to the established similarities and associates said file with at least one known characteristic belonging to the different people from whom the reference language files ( 1 . 10 ) originate, gc) creating an interim output file, which contains characteristics ( 4 . 20 ) associated with the partial file in step gbb), and gd) outputting the interim output file. 4. The method as claimed in claim 3 , wherein the output file and/or the interim output file contains personality traits and/or characteristics relating to the psychological stale of the person.