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    <abstract>Recent advancements in neural machine translation (NMT) have significantly improved the accuracy of translation from one language to another. However, challenges such as adherence to translation memories, context-specific terminologies, and consistent formality register remain pervasive hurdles. This presentation explores the integration of Large Language Models (LLMs) into the MT pipeline to address these specific issues, demonstrating substantial improvements in translation quality and contextual appropriateness.</abstract>
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%0 Conference Proceedings
%T Enhancing Translation Accuracy and Consistency through Large Language Models
%A Zheng, Mei Chai
%Y Martindale, Marianna
%Y Campbell, Janice
%Y Savenkov, Konstantin
%Y Goel, Shivali
%S Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 2: Presentations)
%D 2024
%8 September
%I Association for Machine Translation in the Americas
%C Chicago, USA
%F zheng-2024-enhancing
%X Recent advancements in neural machine translation (NMT) have significantly improved the accuracy of translation from one language to another. However, challenges such as adherence to translation memories, context-specific terminologies, and consistent formality register remain pervasive hurdles. This presentation explores the integration of Large Language Models (LLMs) into the MT pipeline to address these specific issues, demonstrating substantial improvements in translation quality and contextual appropriateness.
%U https://aclanthology.org/2024.amta-presentations.3
%P 19-29

Markdown (Informal)

[Enhancing Translation Accuracy and Consistency through Large Language Models](https://aclanthology.org/2024.amta-presentations.3) (Zheng, AMTA 2024)

• Enhancing Translation Accuracy and Consistency through Large Language Models (Zheng, AMTA 2024)

ACL

• Mei Chai Zheng. 2024. Enhancing Translation Accuracy and Consistency through Large Language Models. In Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 2: Presentations), pages 19–29, Chicago, USA. Association for Machine Translation in the Americas.