Mini toolsDefinition
A text preprocessing technique that breaks words into smaller meaningful units. This helps handle rare words and morphological variations efficiently.
Detailed Explanation
Subword tokenization breaks words into smaller units based on frequency statistics in the training corpus. This approach allows models to handle out-of-vocabulary words by combining subword units. Common algorithms include BPE WordPiece and Unigram language modeling. The technique is particularly effective for morphologically rich languages and technical vocabulary.
Use Cases
Language models Machine translation Text classification Information retrieval
