Score: 2

BPE Stays on SCRIPT: Structured Encoding for Robust Multilingual Pretokenization

Published: May 30, 2025 | arXiv ID: 2505.24689v1

By: Sander Land, Catherine Arnett

BigTech Affiliations: Cohere

Potential Business Impact:

Helps computers understand all languages better.

Business Areas:
Natural Language Processing Artificial Intelligence, Data and Analytics, Software

Byte Pair Encoding (BPE) tokenizers, widely used in Large Language Models, face challenges in multilingual settings, including penalization of non-Western scripts and the creation of tokens with partial UTF-8 sequences. Pretokenization, often reliant on complex regular expressions, can also introduce fragility and unexpected edge cases. We propose SCRIPT (Script Category Representation in PreTokenization), a novel encoding scheme that bypasses UTF-8 byte conversion by using initial tokens based on Unicode script and category properties. This approach enables a simple, rule-based pretokenization strategy that respects script boundaries, offering a robust alternative to pretokenization strategies based on regular expressions. We also introduce and validate a constrained BPE merging strategy that enforces character integrity, applicable to both SCRIPT-BPE and byte-based BPE. Our experiments demonstrate that SCRIPT-BPE achieves competitive compression while eliminating encoding-based penalties for non-Latin-script languages.

Country of Origin
🇨🇦 Canada

Repos / Data Links

Page Count
9 pages

Category
Computer Science:
Computation and Language