Parallel Tokenizers: Rethinking Vocabulary Design in Cross-Lingual Transfer of Low-Resource Languages

arXiv:2510.06128 · cs.CL · Submitted 2025-10-07 · Read on arXiv

cs.CL

Submitted: 2025-10-07

Updated: 2026-09-26

Terminology

• Tokenization — 29× in this paper · explained in 2 episodes
• Benchmarking — 24× in this paper · explained in 3 episodes
• Embeddings — 18× in this paper · explained in 2 episodes
• Benchmark — 17× in this paper · explained in 2 episodes
• Alignment — 16× in this paper · explained in 1 episode
• Low-Resource Languages — 12× in this paper · explained in 4 episodes
• Cross-lingual Transfer — 10× in this paper · explained in 2 episodes
• Transformer — 7× in this paper · explained in 2 episodes
• Generalization — 6× in this paper · explained in 13 episodes
• Representation Learning — 6× in this paper · explained in 2 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Principal Component Analysis — 3× in this paper
• Adam — 2× in this paper · explained in 2 episodes
• Clustering — 2× in this paper · explained in 2 episodes
• Downstream Tasks — 2× in this paper · explained in 2 episodes
• F1 Score — 2× in this paper · explained in 3 episodes
• Principal Component Analysis (PCA) — 2× in this paper · explained in 4 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Semantic Alignment — 2× in this paper · explained in 3 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• GPT-4 Technical Report
• Qwen Technical Report
• No Language Left Behind: Scaling Human-Centered Machine Translation

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