Abstract
Several years have passed since the era of big data came. Furthermore, the development of deep learning in recent years has been remarkable, and it extends not only to the field of image processing but also to the field of natural language processing and speech recognition. In this study, we practice sentence generation, and mainly compare and consider the three methods used there. 1) Markov chain, 2) automatic summary, 3) sentence generation by deep learning (RNN / LSTM). As a subject, it is considered that the connection between sentence and sentence is unnatural as a subject. Consider the connection between natural sentences and sentences that are practical.