In this digital society, we seek the covenience even in using language, surrounded by digital environment. A lot of communication take place in online space, through digital computer. Therefore, we can research language based on the digital text resource and use more computational methods called machine learning which became prominent by the most recent AlphaGo and artificial intelligence issues. We present why this machine learning method is useful and necessary and how different theoretical linguistic explanation and computational linguistic feature representation are in terms of accessibilty to machine. We also show the method of representing linguistic features for the machine learning techniques i.e. neural network and bayesian network which started from human mind.