Model for Prediction of Next Words
Chhaya Gudade Sneha Bohra · International Journal of Science and Research (IJSR) · 2023
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.