Robotics & Machine Learning Daily News2024,Issue(Nov.29) :6-6.

New Machine Translation Study Results from Guangxi University of Finance & Economics Described (English-chinese Translation Quality Assessment Based On Phr ase Statistical Machine Translation Decoding Algorithm)

广西财经大学机器翻译研究新成果(基于Phr ase统计机器翻译解码算法的英汉翻译质量评价)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :6-6.

New Machine Translation Study Results from Guangxi University of Finance & Economics Described (English-chinese Translation Quality Assessment Based On Phr ase Statistical Machine Translation Decoding Algorithm)

广西财经大学机器翻译研究新成果(基于Phr ase统计机器翻译解码算法的英汉翻译质量评价)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑最新的机器翻译研究成果已经发表。根据新闻报道在中国广西,NewsRx编辑,这项研究称,“机器学习”翻译是使用c语言将文本从一种语言翻译成另一种语言的自动化过程算法和统计模型。神经网络方法,特别是使用模型就像具有注意力机制的序列对序列(Seq2Seq)一样,已经显示出显著的性能提高翻译质量。 ”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Translation have been published. According to news reportingout of Guangxi, People’s Republic o f China, by NewsRx editors, the research stated, “Machine learningtranslation i s the automated process of translating text from one language to another using c omputationalalgorithms and statistical models. Neural network-based approaches, particularly using modelslike sequence-to-sequence (Seq2Seq) with attention me chanisms, have shown remarkable performanceimprovements in translation quality. ”

Key words

Guangxi/People’s Republic of China/Asi a/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Machine Transla tion/Guangxi University of Finance & Economics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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