Writing-System-Level Tokenizer Adaptation for Byte-Level BPE
Bohdan Didenko
Lviv Polytechnic National University
cs.CL
Submitted: 2026-08-01
Comments: 15 pages. Accepted for poster presentation at the Second Tokenization Workshop (TokShop) at COLM 2026 (non-archival)
Code: https://github.com/BogdanDidenko/tokenizer-transfer-framework
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Model-Aware Tokenizer Transfer
- Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language Models
- Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models
- Teaching Old Tokenizers New Words: Efficient Tokenizer Adaptation for Pre-trained Models
- Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation
- Achieving Tokenizer Flexibility in Language Models through Heuristic Adaptation and Supertoken Learning
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