Long short-term memory networks for automatic generation of conversations

Abstract

Human Machine Interface demands the communicative propriety that would be applied in various linguistic tasks. In this research, we develop an intelligent ‘chat bot’, which generates conversational sentences via recurrent neural network and its coupled memory unit, long short-term memory (LSTM). Word strings in conversations are considered as time series data. Using a single neural network model that performs a simple task of outputting the next word from the preceding word, a conversational sentence can be generated by connecting the words. In the experiment, we performed the linguistic ‘Turning Test’ to evaluate the proposed system.