SPIN Unprocessed
Source arXiv Computation and Language export.arxiv.org Analyst
October 16, 2026 ai_technology research

Does Morphological Correctness Matter for Tokenization? A Scrambled Control Study in Tagalog

View original on arxiv.org

Overview

arXiv:2610.20859v1 Announce Type: new Abstract: Typology-aware tokenizers are motivated by the claim that segmentation which respects morpheme boundaries preserves information that frequency-driven segmentation destroys. Studies routinely establish that it helps while assuming the boundaries must be linguistically correct. We separate them. Tagalog marks voice with infixes (s-um-ulat 'wrote', s-in-ulat 'was written'), so the root is not contiguous and no sequence of BPE merges can recover it. We

SpinGraph analysis pending — check back after processing.

Ask AI about this story

Opens with the SpinGraph .md URL and structured context — one click, prompt included.

More from arXiv Computation and Language

View all →

Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO