Mini toolsDefinition
The process of breaking down text into smaller units called tokens, typically words or subwords.
Detailed Explanation
Tokenization is a fundamental preprocessing step in NLP that segments text into meaningful units. These units can be words, subwords, characters, or symbols. Modern approaches include subword tokenization methods like BPE (Byte Pair Encoding) and WordPiece, which help handle out-of-vocabulary words and reduce vocabulary size.
Use Cases
Text preprocessing for machine translation, search engines, text analysis systems, chatbots, and document processing
