Open AccessNeural Machine Translation using Recurrent Neural Network
Author(s) -
Debajit Datta,
Preetha Evangeline David,
Dhruv Mittal,
Anukriti Jain
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.d7637.049420
Subject(s) - machine translation , recurrent neural network , computer science , artificial intelligence , artificial neural network , machine learning , field (mathematics) , translation (biology) , order (exchange) , biochemistry , chemistry , mathematics , finance , messenger rna , pure mathematics , economics , gene
In this era of globalization, it is quite likely to come across people or community who do not share the same language for communication as us. To acknowledge the problems caused by this, we have machine translation systems being developed. Developers of several reputed organizations like Google LLC, have been working to bring algorithms to support machine translations using machine learning algorithms like Artificial Neural Network (ANN) in order to facilitate machine translation. Several Neural Machine Translations have been developed in this regard, but Recurrent Neural Network (RNN), on the other hand, has not grown much in this field. In our work, we have tried to bring RNN in the field of machine translations, in order to acknowledge the benefits of RNN over ANN. The results show how RNN is able to perform machine translations with proper accuracy.