What is the purpose of using the 'padding' technique in NLP?
Practice Questions
Q1
What is the purpose of using the 'padding' technique in NLP?
To remove unnecessary tokens
To ensure all input sequences are of the same length
To increase the vocabulary size
To improve the accuracy of embeddings
Questions & Step-by-Step Solutions
What is the purpose of using the 'padding' technique in NLP?
Step 1: Understand that in Natural Language Processing (NLP), we often work with sequences of words or tokens.
Step 2: Realize that these sequences can be of different lengths. For example, one sentence might have 5 words, while another has 10 words.
Step 3: Know that many machine learning models require input data to be in a uniform shape or size to process them efficiently.
Step 4: Learn that 'padding' is a technique used to make all sequences the same length by adding extra values (usually zeros) to the shorter sequences.
Step 5: Understand that this allows us to group multiple sequences together in a batch for training or inference without errors.
