Machine Learning with Pattern Recognition in Natural Language Processing without any Grammar and Syntax Knowledge

摘要

In this system we are able to classify the components of sentences into a parse tree and gradually grow the tree with extra information about the subjects. Then the recognized pattern will be investigated with an interpreter and will be translated to understandable command for machines. After passing elementary education, further training will be taught indirectly just based on the previous orders without any supervisors. Thus after teaching the machine capable to extract concept from the classified data and act with natural language. These training just like primary education to kids without any knowledge about the language syntaxes and grammar only due to the pattern recognition in sentences.