SuTRA : Structurally-Unified Tokenization with Root Awareness
Existing subword tokenizers optimize statistical compression but ignore morphological structure, particularly the relationship between roots and affixes. This is harmful for morphologically rich Indic languages, where basic units are complex orthographic syllables (aksharas) rather than letters. Frequency-based methods over-fragment words, arbitrarily splitting roots and affixes - a phenomenon we term Morphological Shattering. We propose SuTRA (Structurally-Unified Tokenization with Root Awareness), a morphology-aware algorithm that preserves akshara indivisibility and penalizes merges crossing morphological boundaries. We also release a new morphological segmentation dataset for Hindi, M...
| Authors | Vaibhav Rathore, Siddhant Gole, Dadhichi Telwadkar et al. |
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| Primary category | cs.CL |
| Published | 5 June 2026 |
| Last updated at source | 20 August 2026 |
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