Paid Project , Project ,

Building Machine Translation models for English-Hindi

In this project, we’ll learn to convert English text into Hindi using machine translation models and deep learning techniques. We’ll start with a simple machine translation LSTM encoder-decoder model, then we’ll move to an attention-based encoder-decoder model, and we’ll use the Loung attention mechanism. After this, we’ll build the model using Bi-directional LSTM, and then we’ll train the transformer-based model with multi-head attention for translating English text into Hindi.

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What will you Learn in the Project?

Building machine translation model using LSTM
Building machine translation model using LSTM with an attention mechanism
Building machine translation model with Bi-directional LSTM Encoder-decoder
Building machine translation model with state-of-the-art transformer architecture

Tools & Technologies Used

Pandas
Keras
Tensorflow
Matplotlib
sklearn
Pandas
Nltk

Prerequisite

Working knowledge of tools such as Tensorflow, Keras, etc.
Good theoretical understanding of concepts such as RNN, LSTM, Bi-directional LSTM, Encoder-decoder model, attention mechanism (such as loung attention), and deep learning transformer encoder-decoder model
Having theoretical knowledge of how machine translation deep learning is a plus