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Series
In this series, I will deep dive into basics of NLP
Natural Language Processing (NLP) is a sub-field of AI that enables computers to understand, process, and interact with human language. Natural Language Processing (NLP) integrates computational linguistics, machine learning, and deep learning models...
Tokenization is a crucial step in Natural Language Processing (NLP) that involves breaking down text into smaller, manageable units called tokens. These tokens can be words, subwords, characters, or other meaningful units, depending on the tokenizat...
This article covers the rest of the tokenization techniques, if you didn't get a chance to see part 1, it is here Types of Tokenization Techniques: Unigram Language Model: It is a probabilistic model that uses individual tokens (subwords or words)...
