Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting. Terminology correctness is important in the downstream application of machine translation, and a prevalent way to ensure this is to inject terminology constraints into a translation system.
Oct 9, 2023
Alternatively, we leverage a large language model to refine a hypothesis by providing it with terminology constraints. Results show that our terminology-aware ...
Alternatively, we leverage a large language model to refine a hypothesis by pro- viding it with terminology constraints. Results show that our terminology-aware ...
Nov 30, 2023 · Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting ... How do we get the best terminology machine ...
The intersection of tree transducer-based translation models with n-gram language models results in huge dynamic programs for machine translation decoding. We ...
Jul 18, 2024 · Here, we employed constraint-aware LLMs and NMT on the “En-Zh” and “En-Ru” directions of the terminology translation dataset. We assessed ...
Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting. How do we get the best terminology machine translation system?
Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting. N Bogoychev, P Chen. Proceedings of the Eighth Conference on Machine ...
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Iterative translation refinement with large language models. 2024. Accepted ... Terminology-aware translation with constrained decoding and large ...
Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting ... Terminology correctness is important in the downstream application ...