[New Project Funded] Deep Learning-based Natural Language Processing and Machine Translation

[New Project Funded] Deep Learning-based Natural Language Processing and Machine Translation

This project has been funded / conducted in collaboration with foreign airlines. 

  • Instant Visual Translation

As you know, deep learning is used to identify images that have letters and where the letters are on the scene. Once identified, they can be turned into text, translated and the image recreated with the translated text. This is often called instant visual translation.

nlp
(image from https://www.edureka.co/blog/what-is-deep-learning)

Deep Learning-based Natural Processing Model

LSTM

A Long Short-Term Memory (LSTM) unit. The LSTM unit has four input weights (from the data to the input and three gates) and four recurrent weights (from the output to the input and the three gates). Peepholes are extra connections between the memory cell and the gates, but they do not increase the performance by much and are often omitted for simplicity. Image by Klaus Greff and colleagues as published in LSTM: A Search Space Odyssey. Image by Klaus Greff and colleagues as published in LSTM: A Search Space Odyssey.