Work

EST: A Morphology-Guided English-to-Sanskrit Tokenizer for Compact NLP Representations

Year: 2025
Type: article
Abstract: We present EST, a tokenizer that maps English text into linguistically valid Sanskrit tokens, achieving 55.3 % average token reduction (peak 82 %) while preserving 95.2 % context. A 33 425-entry Paninian lexicon and a dual-path architecture ensure 100 % coverage with zero token loss. The system is released under an open licence for immediate reuse.
Author: Patil, Sumedh
Language: English
Open Access status: green
OpenAlex ID: W7108440684
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