Chatbot Powered By Deep Learning with Neural Machine Translation

Abstract

The chat-bot made with deep learning is aimed at eradicating the rule-based chatbots that are extensively in use nowadays. Rule-based chatbots require a programmer to explicitly program them with thousands of rules and hard-coded responses, presuming the user’s responses. This is a pretty tedious process and demands skilled manpower. The deep learning chatbot eliminates all this at the cost of a huge and relevant dataset that has real human interactions. The chatbot thus made can either be used for general or specific purposes grounded on the dataset used for training the model. This project makes use of Deep Learning to make the machine learn by itself on how humans ‘speak’ or ‘handle’ or ‘behave’ under the given circumstances and mimic them effectively even in the absence of the ‘rules’.