Advanced Machine Translation Techniques Using Deep Learning: A Survey

Deekshith Chary · SSRN Electronic Journal · 2020

Machine Translation utilizing Deep Learning (Neural Machine Translation) is a recently proposed way to deal with machine translation. The term Machine Translation is used in the feeling of translation of one language to another, with no human improvement. It can likewise be alluded to as computerized translation. In contrast to the customary factual machine translation, the neural machine translation targets constructing a solitary neural network that can be mutually tuned to amplify the translation execution. This overview uncovers the data about Deep Neural Network (DNN) and deep learning in normal language handling, such as machine translation. It is smarter to utilize Recurrent Neural Network(RNN) in Machine Translation. This paper contemplates different methods used to prepare RNN for other language corpora. RNN structure is confounded, and scheduling a huge corpus is likewise a tedious assignment. Henceforth, ground-breaking equipment upholds (Graphics Processing Unit) is required. GPU improves the framework execution by diminishing preparing timespan.

Read the paper · More papers on PaperTik