Translation Strategies for English-Language Movies Under the Application of Mobile Cloud Computing Combined with Deep Learning

Abstract

Translation strategies make the individual feel convenient in visualising movies in different languages. The challenge in this translation is in mapping the language words in relation to the language presented in the movie. It is also necessary to consider the mode utilised for viewing the movie. In this research, individuals are considered to make use of mobile devices to visualise the movie with the choice of language translation. In this perspective, Software-as-a-Service (SaaS) cloud computing technology is utilised for storing the data in the cloud environment and making it available as on-demand data. To make an effective translation of the English movie, Multi-Layer Perceptron (MLP), which is a basic deep learning model, is considered for training the translator system for the video data available in the cloud. The proposed model of SaaS with MLP is compared with the regular Recurrent Neural Network (RNN) model for accuracy in translation of the language. The comparative analysis shows that the proposed model has obtained an accuracy of 83%, which is higher than the RNN model.