The Functionalizer: Lossless Functional Decomposition for Subword Tokenization
Standard subword tokenizers either treat every orthographic variation of a word (such as hello, Hello, HELLO, and Héllo) as unrelated vocabulary entries, which fragments the embedding space, or discard this variation through lossy normalization. We present the Functionalizer, a lossless pre-tokenizer framework that factors orthographic and structural variations into a compositional opcode/operand prefix stream before tokenization: a canonical base token (operand) prefixed by parametric transformation operators (opcodes) encoded in the Unicode Private Use Area. We introduce operators covering casing (CAPITALIZE), diacritics (13 dedicated opcodes), and character repetition (REPEAT, MULTIREP...
| Authors | Connor Makowski, Willem Guter |
|---|---|
| Primary category | cs.CL |
| Published | 7 July 2026 |
| Last updated at source | 18 September 2026 |
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Models and datasets referencing this paper
- mrkwanzaa/functionalizer-100M-github-code-python-seed2Model
- mrkwanzaa/functionalizer-100M-github-code-python-seed3Model
- mrkwanzaa/functionalizer-100M-github-code-python-seed1Model
- mrkwanzaa/functionalizer-100M-github-code-python-seed5Model
- mrkwanzaa/functionalizer-100M-github-code-python-seed4Model
- mrkwanzaa/functionalizer-100M-fineweb-edu-seed5Model
- mrkwanzaa/functionalizer-100M-fineweb-edu-seed2Model
- mrkwanzaa/functionalizer-100M-fineweb-edu-seed4Model
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