1. A method, executed by electronic computer hardware in combination with software, for automatic translation of a computer program language code, comprising: tokenizing one or more characters of a source programming language code to generate a list of tokens; parsing the list of tokens to generate a grammatical data structure, wherein the grammatical data structure comprises one or more data nodes; processing the one or more data nodes of the grammatical data, structure to generate a document object model, wherein the document object model comprises one or more portable data nodes; and analyzing the one or more portable data nodes in the document object model to generate one or more characters of a target programming language code; normalizing the source programming language, wherein one or more features of the source programming language are managed based on one or more features of the target programming language, comprising: identifying one or more non-equivalent and one or more equivalent features from the one or more features in the source programming language, wherein the one or more non-equivalent features and the one or more equivalent features are identified based on the one or more features of the target programming language; and removing the one or more non-equivalent features of the source programming language; wherein equivalent features are features that are configured to be mapped the source programming language and the target programming language.
1. A method, executed by electronic computer hardware in combination with software, for automatic translation of a computer program language code, comprising: tokenizing one or more characters of a source programming language code to generate a list of tokens; parsing the list of tokens to generate a grammatical data structure, wherein the grammatical data structure comprises one or more data nodes; processing the one or more data nodes of the grammatical data, structure to generate a document object model, wherein the document object model comprises one or more portable data nodes; and analyzing the one or more portable data nodes in the document object model to generate one or more characters of a target programming language code; normalizing the source programming language, wherein one or more features of the source programming language are managed based on one or more features of the target programming language, comprising: identifying one or more non-equivalent and one or more equivalent features from the one or more features in the source programming language, wherein the one or more non-equivalent features and the one or more equivalent features are identified based on the one or more features of the target programming language; and removing the one or more non-equivalent features of the source programming language; wherein equivalent features are features that are configured to be mapped the source programming language and the target programming language. 44. The method of claim 1 , wherein the grammatical data structure defines a relationship between tokens in the list of tokens.