Attention mechanism in spelling correction model

Question

Can you explain about Attention mechanism in spelling correction model

Answer 1

An attention mechanism in a spelling correction model improves accuracy by dynamically focusing on critical input character sequences, enabling better alignment between misspelled and corrected words.

Here is the code snippet you can refer to:

In the above code we are using the following key points:

• Uses an Encoder-Decoder LSTM to process spelling corrections.
• Applies an Attention Mechanism to dynamically focus on key characters.
• Computes Context Vectors by weighting encoder outputs for each decoder step.
• Concatenates Attention and Decoder Outputs for better alignment in correction.
• Uses a Dense Softmax Layer to predict corrected words

Hence, attention in a spelling correction model improves alignment between input and output sequences, enhancing correction accuracy by emphasizing key parts of the misspelled word.