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Post-Editing and Data Augmentation
Many thanks for this wonderful effort! It is very helpful. We are honoured that our paper on utilising in-context learning for adaptive MT with LLMs is on this list.
I would like to mention two of our papers that also employ LLMs for MT. Obviously, it is up to you to decide if their addition fits the purpose of the list.
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Domain Terminology Integration into Machine Translation: Leveraging Large Language Models
This paper mostly falls under the post-editing category. -
Domain-Specific Text Generation for Machine Translation
This paper uses LLMs for retrieval-based data augmentation to later fine-tune an encoder-decoder MT system. I understand that currently there is no data augmentation subsection. Maybe it can fit under fine-tuning, too.
Thanks again for all your efforts!
Wrong authors of "Prompting PaLM for Translation: Assessing Strategies and Performance"
The authors should be:
David Vilar, Markus Freitag, Colin Cherry, Jiaming Luo, Viresh Ratnakar, George Foster
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