Efficient Multilingual Neural Machine Translation via Corpus-Driven Vocabulary Pruning: An English-Arabic Case Study

arXiv:2608.03480 · cs.CL · Submitted 2026-08-04 · Read on arXiv

Ahmed Amine Aliane, Nasredine Semmar, Hassina Aliane

cs.CL

Submitted: 2026-08-04

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Pruning — 56× in this paper · explained in 4 episodes
• Fine-Tuning — 26× in this paper · explained in 5 episodes
• Multilingual Neural Machine Translation — 10× in this paper
• Quantization — 7× in this paper · explained in 15 episodes
• Distillation — 6× in this paper · explained in 2 episodes
• Knowledge Distillation — 6× in this paper · explained in 15 episodes
• Tokenization — 6× in this paper · explained in 2 episodes
• Embeddings — 5× in this paper · explained in 2 episodes
• Composition — 4× in this paper · explained in 2 episodes
• Decoder — 4× in this paper · explained in 2 episodes
• Domain Adaptation — 4× in this paper · explained in 5 episodes
• Model Compression — 4× in this paper · explained in 3 episodes
• Robustness — 4× in this paper · explained in 6 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Failure Modes — 3× in this paper · explained in 3 episodes
• Papers — 3× in this paper · explained in 3 episodes
• Augmentation — 2× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Domain Specialization — 2× in this paper · explained in 3 episodes
• Evaluation Framework — 2× in this paper · explained in 3 episodes
• Generalization — 2× in this paper · explained in 14 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 9 episodes
• Commentary — 1× in this paper · explained in 2 episodes
• Cross-Domain Generalization — 1× in this paper · explained in 3 episodes
• Cross-lingual Transfer — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 10 episodes
• Domain Fine-tuning — 1× in this paper · explained in 2 episodes
• Domain Shift — 1× in this paper · explained in 7 episodes
• Error Taxonomy — 1× in this paper · explained in 3 episodes
• Evaluation Protocol — 1× in this paper · explained in 2 episodes
• Hybrid Model — 1× in this paper · explained in 2 episodes
• Low-Resource Languages — 1× in this paper · explained in 4 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Transformer Model — 1× in this paper · explained in 2 episodes
• Transformer Models — 1× in this paper · explained in 3 episodes
• Two-Stage Framework — 1× in this paper · explained in 2 episodes

Sources

• Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
• Multilingual Translation with Extensible Multilingual Pretraining and Finetuning
• No Language Left Behind: Scaling Human-Centered Machine Translation
• Q8BERT: Quantized 8Bit BERT
• Reducing Transformer Depth on Demand with Structured Dropout
• Graphs whose all maximal induced forests are of the same order
• Distilling the Knowledge in a Neural Network
• Multilingual Neural Machine Translation with Knowledge Distillation
• Vocabulary Selection Strategies for Neural Machine Translation
• Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges
• 8-bit Optimizers via Block-wise Quantization

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