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Research Paper | Computer Science & Engineering | India | Volume 12 Issue 7, July 2023

Model for Prediction of Next Words

Chhaya Gudade | Sneha Bohra ^[2]

Abstract: The processing of natural languages is an essential area of machine learning, and anticipating what people say is one of its applications. the next words within a sentence is one of its fundamental difficulties. In this paper, we implement a A framework built around machine learning to predict the next syllables in a sentence. The proposed model employs a multi-layered bidirectional recurrent neural network (RNN) architecture that permits efficient representation learning of sequential data. We encode the input sentence using a combination of word embedding alongside character-level features. A stochastic steepest descend optimisation algorithm with adaptive learning rates is used to train the model. Our experimental findings demonstrate that our model outperforms other cutting-edge language models on a variety of standard benchmarks, attaining an accuracy of over 90%. We also analyse the model's defects and discuss potential enhancements. Our research has implications for The applications for processing natural languages include automated translation, summarization of text, and answering inquiries algorithms.

Keywords: deep learning, language modeling, recurrent neural network, prediction, natural language processing

Edition: Volume 12 Issue 7, July 2023,

Pages: 120 - 127