Word Generation Using Recurrent Neural Network

Abstract

Computers have influenced the life of humans to a very great extent. Natural Processing language is a field of computer science which helps to exchange information very efficiently between humans and machines with less human requirement. Text generation techniques can be applied for improving language models, machine translation summarizing and captioning. In this project we train a Recurrent Neural Network so that it can generate new words related to the words that are fed to it.