使用一种新的NMT-SMT混合框架进行高效的增量培训,用于低资源语言的翻译

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Updated: Jun 11, 2025

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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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Kumar Bhuvaneswari1, Murugesan Varalakshmi2

  • 1School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, Tamil Nadu, India.

Frontiers in artificial intelligence
|October 10, 2024
PubMed
概括

这项研究引入了一种新的方法,用于增强机器翻译的低资源语言,如英语-泰米尔. 通过整合统计和神经机器翻译,它显著提高了翻译准确性.

关键词:
这是一个SMT短语表.梁搜索搜索 梁搜索搜索这是一种混合NMT-SMTNMT.增量培训是指增加的培训.资源较少的语言.

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