Next Words Prediction Using Recurrent NeuralNetworks

Sourabh Ambulgekar,Bharti Joshi,Sanket Malewadikar,Raju Garande,M.D Patil,V.A Vyawahare

doi:10.1051/itmconf/20214003034

Abstract

Next Word Prediction is additionally called Language Modeling. It is the undertaking of predicting what word comes straightaway. It is one of the major assignments of NLP and has numerous applications. Attempting to make model utilizing nietzsche default text record which will foresee clients sentence after the clients composed 40 letters, the model will comprehend 40 letters and anticipate impending top 10 words utilizing RNN neural organization which will be executed utilizing Tensorflow. Our Aim of creating this model to predict 10 or more then 10 word as fast as possible utilizing minimum time. As RNN is Long short time memory it will understand past text and predict the words which may be helpful for the user to frame sentences and this technique uses letter to letter prediction means it predict a letter after letter to create a word

Highlights

Natural Language Processing (NLP) is a significant part of artificial Intelligence, which incorporates AI, which contributes to finding productive approaches to speak with people and gain from the associations with them
As LSTM is Long short time memory it will understand the past text and predict the words which may be helpful for the user to frame sentences and this technique uses a letter to letter prediction means it predicts a character to create a word
Most of the software uses different methods like NLP and normal neural networks to do this task we will be experimenting with this problem using LSTM by using the Default Nietzsche text file known as our training data to train a model

Summary

Introduction

Natural Language Processing (NLP) is a significant part of artificial Intelligence, which incorporates AI, which contributes to finding productive approaches to speak with people and gain from the associations with them. One such commitment is to give portable clients anticipated ” words,” as they type along within applications, with an end goal to assist message conveyance by having the client select a proposed word as opposed to composing it. Word Prediction is called Language Modeling that is the task of predicting what word comes next. It is one of the fundamental tasks of NLP and has many applications

Literature Review

Data pre-processing

Data Description and Data cleaning

Experimental result

Findings

Future Work and Conclusion