Machine Translation is the translation of text or speech by a computer with no human involvement. It is a popular topic in research with different methods being created, like rule-based, statistical and examplebased machine translation. Neural networks have made a leap forward to machine translation. This paper discusses the building of a deep neural network that functions as a part of end-to-end translation pipeline. The completed pipeline would accept English text as input and return the French Translation. The project has three main parts which are preprocessing, creation of models and Running the model on English Text
n the last years, deep learning algorithms have highly revolutionized several areas including speech...
Machine translation is one of the oldest and hardest problems in artificial intelligence. It is stud...
n the last years, deep learning algorithms have highly revolutionized several areas including speech...
With economic globalization and the rapid development of the Internet, the connections between diffe...
With economic globalization and the rapid development of the Internet, the connections between diffe...
Neural Machine Translation is the primary algorithm used in industry to perform machine translation....
The last few years have witnessed a surge in the interest of a new machine translation paradigm: neu...
Deep neural models tremendously improved machine translation. In this context, we investigate whethe...
Introduction of deep neural networks to the machine translation research ameliorated conventional ma...
Neural machine translation (NMT), where neural networks are used to generate translations, has revol...
Neural machine translation (NMT), where neural networks are used to generate translations, has revol...
"A decade after the publication of my textbook Statistical Machine Translation, translation technolo...
Humans benefit from communication but suffer from language barriers. Machine translation (MT) aims t...
Machine translation presents its root in the domain of textual processing that focuses on the usage ...
Machine translation presents its root in the domain of textual processing that focuses on the usage ...
n the last years, deep learning algorithms have highly revolutionized several areas including speech...
Machine translation is one of the oldest and hardest problems in artificial intelligence. It is stud...
n the last years, deep learning algorithms have highly revolutionized several areas including speech...
With economic globalization and the rapid development of the Internet, the connections between diffe...
With economic globalization and the rapid development of the Internet, the connections between diffe...
Neural Machine Translation is the primary algorithm used in industry to perform machine translation....
The last few years have witnessed a surge in the interest of a new machine translation paradigm: neu...
Deep neural models tremendously improved machine translation. In this context, we investigate whethe...
Introduction of deep neural networks to the machine translation research ameliorated conventional ma...
Neural machine translation (NMT), where neural networks are used to generate translations, has revol...
Neural machine translation (NMT), where neural networks are used to generate translations, has revol...
"A decade after the publication of my textbook Statistical Machine Translation, translation technolo...
Humans benefit from communication but suffer from language barriers. Machine translation (MT) aims t...
Machine translation presents its root in the domain of textual processing that focuses on the usage ...
Machine translation presents its root in the domain of textual processing that focuses on the usage ...
n the last years, deep learning algorithms have highly revolutionized several areas including speech...
Machine translation is one of the oldest and hardest problems in artificial intelligence. It is stud...
n the last years, deep learning algorithms have highly revolutionized several areas including speech...