Robotics & Machine Learning Daily News2024,Issue(Sep.16) :67-68.

Investigators at South China University of Technology Detail Findings in Machine Translation (Dap-simt: Divergence-based Adaptive Policy for Simultaneous Machin e Translation)

Robotics & Machine Learning Daily News2024,Issue(Sep.16) :67-68.

Investigators at South China University of Technology Detail Findings in Machine Translation (Dap-simt: Divergence-based Adaptive Policy for Simultaneous Machin e Translation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Translation. According to news reporting originating in Guangzhou, Peopl e’s Republic of China, by NewsRx journalists, research stated, “In the realm of Simultaneous Machine Translation (SiMT), a robust read/write (R/W) policy is ess ential alongside a high-quality translation model. Traditional methods typically employ either a fixed wait-k policy in sync with a wait-k translation model or an adaptive policy that is co-developed with a dedicated translation model.”

Key words

Guangzhou/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Machine Translation/South China U niversity of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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