Quality assessment and post-translation editing of audio-visual text machine translation:a case study of subtitle translation for MOOC Dating with Lakes and Rivers in Jiangxi
With the industrialization of machine translation(MT),the language service industry has gained tremen-dous impetus for rapid development,and post-translation editing(PE)has been consequently turned into an essential part of translation process.Artificial intelligence does bring dividends to translation industry,but,it also has its una-voidable limitations.Taking the subtitle text of MOOC Dating with Lakes and Rivers in Jiangxi as the research sam-ple,this paper proposes the machine translation quality assessment standard of audio-visual text on the basis of MQM quality assessment framework released by the German Research Center for Artificial Intelligence(DFKI),by which the error value is quantified,and its machine translation quality defined.Therefore,three-level model of post-translation editing is proposed:light post-editing(LPE),moderate post-editing(MPE)and full post-editing(FPE).
audio-visual textMOOCquality assessment of machine translation qualitypost-translation editing
国家科技期刊平台
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