EnSiTa - A Trilingual Multi-Domain Parallel Dataset and Benchmark for Domain-Specific Machine Translation

arXiv:2609.29511 · cs.CL · Submitted 2026-08-25 · Read on arXiv

cs.CL

Submitted: 2026-08-25

Updated: 2026-08-25

Terminology

Machine Translation — 30× in this paper
Fine-Tuning — 26× in this paper · explained in 5 episodes
Transformer — 9× in this paper · explained in 2 episodes
Benchmark — 6× in this paper · explained in 2 episodes
Alignment — 5× in this paper · explained in 1 episode
Data Augmentation — 5× in this paper · explained in 7 episodes
Low-Resource Languages — 4× in this paper · explained in 4 episodes
Adaptation — 3× in this paper · explained in 1 episode
Hyperparameters — 3× in this paper · explained in 2 episodes
LoRA Fine-Tuning — 3× in this paper · explained in 3 episodes
Adam — 2× in this paper · explained in 2 episodes
In International Conference on Learning Representations — 2× in this paper
Quantization — 2× in this paper · explained in 12 episodes
Ablation — 1× in this paper · explained in 1 episode
Ablation study — 1× in this paper · explained in 1 episode
AdamW Optimizer — 1× in this paper · explained in 1 episode
Benchmarking — 1× in this paper · explained in 4 episodes
Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
Jensen–Shannon Divergence (JSD) — 1× in this paper · explained in 2 episodes
LoRA Adapters — 1× in this paper · explained in 3 episodes
Prompt Engineering — 1× in this paper · explained in 4 episodes
Reinforcement Learning — 1× in this paper · explained in 4 episodes
Resource Constraints — 1× in this paper · explained in 3 episodes

Sources

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