Term #2,283
Tokenization
Claim Term
Tokenization
Origin matter
A method for screening manuscripts
Reference Case 1
BRT_PAT-2-PROV
Date Added
7/15/25
Created
7/15/25, 5:29 PM
Modified
7/15/25, 6:26 PM
Full Desc
"Tokenization" refers to a computational process that segments a stream of input data—such as natural language text—into smaller units called tokens, which may be words, sub words, characters, punctuation marks, semantic elements, or symbolic representations suitable for downstream processing. Synonyms for "tokenization" include lexical segmentation, text parsing, linguistic decomposition, sub word encoding, or the like.
Tokenization may be performed using rule-based, statistical, or learned approaches, and may involve fixed or variable-length segmentation strategies. Tokenization may operate in conjunction with vocabulary constraints, language-specific heuristics, byte-level encoding techniques, or sub word encoding algorithms such as byte-pair encoding (BPE), WordPiece, or SentencePiece. The tokenization process may include or be preceded by normalization procedures such as case folding, punctuation removal, whitespace trimming, or Unicode canonicalization. Tokenization enables artificial intelligence systems—including large language models, transformer-based models, and other neural network architectures—to represent text in structured or numerical form, thereby facilitating further analysis, embedding, attention modeling, or generation tasks. (Defined in conjunction with ChatGPT 4o Version, July 15, 2025.)
Applications using this term
| Matter | Usage | Notes | Actions |
|---|---|---|---|
| BRT-PAT-2-PROV | Defined | — | App terms |