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

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-04
DOI
https://doi.org/10.5281/zenodo.17807017
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Natural Language Processing Techniques
article

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

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 21%
Natural Language Processing Techniques
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EST: A Morphology-Guided English-to-Sanskrit Tokenizer for Compact NLP Representations · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS