首页|Investigators at South China University of Technology Detail Findings in Machine Translation (Dap-simt: Divergence-based Adaptive Policy for Simultaneous Machin e Translation)
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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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.”
GuangzhouPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningMachine TranslationSouth China U niversity of Technology
NETL
NSTL
