Supervised Learning
AI Infrastructure
A text preprocessing technique that breaks words into smaller meaningful units. This helps handle rare words and morphological variations efficiently.
Detailed Explanation
Subword tokenization is a text preprocessing method that splits words into smaller units called subwords or fragments. This technique effectively manages rare or unseen words by decomposing them into familiar components, improving language model robustness and vocabulary efficiency. It enhances model understanding of morphological variations, reduces vocabulary size, and supports better generalization across diverse text inputs.
Use Cases
- •Improves language model robustness by efficiently handling rare words and morphological variations in text processing.
Related Terms
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