Conversion of alphabetic words into a plurality of independent spellings

Abstract

A method of automatically converting alphabetic text written in a text based language into a non-text based language. The method can include parsing the text to identify at least one word. The method also can include via a processor, identifying within a lexicon database data corresponding to the word, wherein the data corresponding to the word identifies at least one pictograph or symbol selected from a group of pictographs or symbols consisting of between twenty seven and thirty three distinct pictographs or symbols that visually look different than the text, wherein each pictograph or symbol corresponds to a unique speech sound of the text based language. The pictograph or symbol can be rendered in a view.

What is claimed is: 
     
         1 . A method of automatically converting alphabetic text written in a text based language into a non-text based language, comprising:
 parsing the text to identify at least one word;   via a processor, identifying within a lexicon database data corresponding to the word, wherein the data corresponding to the word identifies at least one pictograph selected from a group of pictographs consisting of between twenty seven and thirty three distinct pictographs that visually look different than the text, wherein each pictograph in the group of pictographs corresponds to a unique speech sound of the text based language; and   rendering the at least one pictograph in a view.   
     
     
         2 . The method of  claim 1 , wherein the group of pictographs consists of between seventeen and nineteen pictographs that correspond to consonant speech sounds. 
     
     
         3 . The method of  claim 1 , wherein:
 at least one of the pictographs includes at least one visual attribute corresponding to a visual attribute of at least one respective letter of the text based language corresponding to the same unique speech sound to which the pictograph corresponds; and   the at least one of the pictograph includes at least one visual attribute corresponding to visual attribute of a respective symbol in a group of symbols corresponding to the same unique speech sound to which the pictograph corresponds.   
     
     
         4 . The method of  claim 3 , further comprising:
 identifying a reading level of a person;   wherein rendering the at least one pictograph is performed in response to the reading level of the person being below a threshold level.   
     
     
         5 . A method of automatically converting alphabetic text written in a text based language into a non-text based language, comprising:
 parsing the text to identify at least one word;   via a processor, identifying within a lexicon database data corresponding to the word, wherein the data corresponding to the word identifies at least one symbol selected from a group of symbols consisting of between twenty seven and thirty three distinct symbols that visually look different than the text, wherein each symbol in the group of symbols corresponds to a unique speech sound of the text based language; and   rendering the at least one symbol in a view.   
     
     
         6 . The method of  claim 5 , wherein the group of symbols consists of between seventeen and nineteen symbols that correspond to consonant speech sounds. 
     
     
         7 . The method of  claim 6 , wherein each of the symbols that correspond to consonant speech sounds comprise at least one visual attribute, wherein the at least one visual attribute is selected from a group of visual attributes consisting of nine distinct visual attributes. 
     
     
         8 . The method of  claim 7 , wherein:
 the visual attribute for at least one symbol in the group of symbols includes a dot, wherein the dot corresponds to a feature depicted in a pictograph contained in a group of pictographs, the pictograph corresponding to a same consonant sound as the symbol.   
     
     
         9 . The method of  claim 6 , wherein:
 at least one of the respective symbols in the group of symbols includes at least one visual attribute corresponding to a visual attribute of at least one respective letter of the text based language corresponding to the same unique speech sound to which the symbol corresponds; and   the at least one symbol includes at least one visual attribute corresponding to visual attribute of a respective pictograph in a group of pictographs corresponding to the same unique speech sound to which the symbol corresponds.   
     
     
         10 . The method of  claim 5 , further comprising:
 identifying a reading level of a person;   wherein rendering the at least one symbol is performed in response to the reading level of the person being at least equal to a threshold level.   
     
     
         11 . A method of automatically converting alphabetic text written in a text based language into a non-text based language, comprising:
 identifying a reading level of a person;   when the reading level of the person is below a threshold level:
 parsing the text to identify at least one word; 
 via a processor, identifying within a lexicon database data corresponding to the word, wherein the data corresponding to the word identifies at least one pictograph selected from a group of pictographs that visually look different than the text, wherein each pictograph in the group of pictographs corresponds to a unique speech sound of the text based language; and 
 rendering the at least one pictograph in a view; and 
   when the reading level of the person is at least equal to the threshold level:
 parsing the text to identify at least one word; 
 via the processor, identifying within the lexicon database data corresponding to the word, wherein the data corresponding to the word identifies at least one symbol selected from a group of symbols that visually look different than the text, wherein each symbol in the group of symbols corresponds to a unique speech sound of the text based language; and 
 rendering the at least one symbol in the view. 
   
     
     
         12 . The method of  claim 11 , wherein:
 the group of pictographs consists of between twenty seven and thirty three distinct pictographs; and   the group of symbols consists of between twenty seven and thirty three distinct symbols.   
     
     
         13 . The method of  claim 12 , wherein:
 the group of pictographs consists of between seventeen and nineteen pictographs that correspond to consonant speech sounds; and   the group of symbols consists of between seventeen and nineteen symbols that correspond to consonant speech sounds.   
     
     
         14 . A computer program product for converting alphabetic text written in a text based language into a non-text based language, the computer program product comprising:
 a computer-readable storage device having computer-readable program code embodied therewith, the computer-readable program code comprising:   computer-readable program code configured to identify a reading level of a person;   computer-readable program code configured to, when the reading level of the person is below a threshold level:
 parse the text to identify at least one word; 
 identify within a lexicon database data corresponding to the word, wherein the data corresponding to the word identifies at least one pictograph selected from a group of pictographs that visually look different than the text, wherein each pictograph in the group of pictographs corresponds to a unique speech sound of the text based language; and 
 render the at least one pictograph in a view; and 
   computer-readable program code configured to, when the reading level of the person is at least equal to the threshold level:
 parse the text to identify at least one word; 
 identify within the lexicon database data corresponding to the word, wherein the data corresponding to the word identifies at least one symbol selected from a group of symbols that visually look different than the text, wherein each symbol in the group of symbols corresponds to a unique speech sound of the text based language; and 
 render the at least one symbol in the view. 
   
     
     
         15 . The computer program product of  claim 14 , wherein:
 the group of pictographs consists of between twenty seven and thirty three distinct pictographs; and   the group of symbols consists of between twenty seven and thirty three distinct symbols.   
     
     
         16 . The computer program product of  claim 15 , wherein:
 the group of pictographs consists of between seventeen and nineteen pictographs that correspond to consonant speech sounds; and   the group of symbols consists of between seventeen and nineteen symbols that correspond to consonant speech sounds.