4. The method of claim 1 , wherein said input sample comprises a first input sample, said parse tree comprises a first parse tree, and said learning pattern comprises a first learning pattern, said method further comprising: receiving user inputs for receiving and parsing at least one more input sample of text to form therefrom a parse tree, for each said at least one more input sample parse tree, defining therefrom a learning pattern; and calculating a generalization of said first learning pattern and at least some of learning patterns defined from said at least one more input sample of text.
4. The method of claim 1 , wherein said input sample comprises a first input sample, said parse tree comprises a first parse tree, and said learning pattern comprises a first learning pattern, said method further comprising: receiving user inputs for receiving and parsing at least one more input sample of text to form therefrom a parse tree, for each said at least one more input sample parse tree, defining therefrom a learning pattern; and calculating a generalization of said first learning pattern and at least some of learning patterns defined from said at least one more input sample of text. 5. The method of claim 4 , wherein said generalization also comprises a precedence inclusion pattern.