Create a Language Translation Model Using Seq2Seq with Attention

[FakhirK90]

The task is to build a sequence-to-sequence (Seq2Seq) model with attention mechanism for language translation. The model will take a sentence in one language (e.g., English) as input and generate a translation in another language (e.g., French).

Tasks:

• Implement a Seq2Seq model with attention mechanism using Keras and TensorFlow.
• Train the model on a dataset of parallel sentences (e.g., English-French sentence pairs).
• Provide a function to translate new sentences.
• Include visualizations of model performance, such as attention weights.

Requirements:

• Use Keras for building the Seq2Seq model with attention.
• Preprocess the text data (tokenization, padding).
• Include code for model training, evaluation, and translation.
• Provide instructions for using the model to translate new sentences.

[VadisettyRahul]

@FakhirK90 please assign to me i already have experience in that.

[FakhirK90]

@VadisettyRahul assign to you.