Preserving Morphemes: Morphology-Guided Pre-Tokenization for Nepali

arXiv:2609.33395 · cs.CL · Submitted 2026-09-27 · Read on arXiv

cs.CL

Submitted: 2026-09-27

Updated: 2026-09-27

Code: https://github.com/kalexrt/nepali-morphology-tokenizer

Terminology

• Tokenization — 14× in this paper · explained in 2 episodes
• Alignment — 8× in this paper · explained in 1 episode
• Consistency — 6× in this paper · explained in 3 episodes
• Core — 5× in this paper · explained in 2 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Downstream Tasks — 4× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Generative AI — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Annotator Agreement — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Perplexity — 1× in this paper · explained in 3 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Tokens with Meaning: A Hybrid Tokenization Approach for Turkish
• The Llama 3 Herd of Models
• FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language
• Qwen2.5 Technical Report
• Vowel Signs Are Not Letters: A Pre-tokenization Ceiling on Multilingual Tokenizer Fertility
• Towards Nepali-language LLMs: Efficient GPT training with a Nepali BPE tokenizer

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