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机器翻译，又称为自动翻译，是利用计算机将一种自然语言(源语言)转换为另一种自然语言(目标语言)的过程。它是计算语言学的一个分支，是人工智能的终极目标之一，具有重要的科学研究价值。
Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation
Arxiv
0+阅读 · 4月3日
Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation
Arxiv
0+阅读 · 4月2日
Performance Evaluation of Scheduling Scheme in O-RAN 5G Network using NS-3
Arxiv
0+阅读 · 4月1日
Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service
Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service
Arxiv
0+阅读 · 4月2日
Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service
Arxiv
0+阅读 · 4月1日
Intersection of linear and multi-twisted codes with applications
Arxiv
0+阅读 · 3月31日
Reinforcement Learning for Safe Autonomous Two Device Navigation of Cerebral Vessels in Mechanical Thrombectomy
Arxiv
0+阅读 · 3月31日
The Impact of Code-switched Synthetic Data Quality is Task Dependent: Insights from MT and ASR
Arxiv
0+阅读 · 3月30日
Automatically Generating Chinese Homophone Words to Probe Machine Translation Estimation Systems
Arxiv
0+阅读 · 3月20日
Sustaining Human Agency, Attending to Its Cost: An Investigation into Generative AI Design for Non-Native Speakers' Language Use
Arxiv
0+阅读 · 3月11日
New Trends for Modern Machine Translation with Large Reasoning Models
Arxiv
0+阅读 · 3月13日
New Trends for Modern Machine Translation with Large Reasoning Models
Arxiv
0+阅读 · 3月14日
R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning
Arxiv
0+阅读 · 3月3日
Compositional Translation: A Novel LLM-based Approach for Low-resource Machine Translation
Arxiv
0+阅读 · 3月6日
Tracking behavioural differences across chronotypes: A case study in Finland using Oura rings
Arxiv
0+阅读 · 3月3日
参考链接
父主题
自然语言处理应用研究
子主题
BERT
ELMo
多语言神经机器翻译
Transformer
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