BriefGPT.xyz
May, 2022
神经机器翻译质量感知解码
Quality-Aware Decoding for Neural Machine Translation
HTML
PDF
Patrick Fernandes, António Farinhas, Ricardo Rei, José G. C. de Souza, Perez Ogayo...
TL;DR
机器翻译中心于神经机器翻译的MAP解码,本文提出基于近期普及的基于参考文本和无参考文本翻译质量评估研究成果,包括n-best重排序和最小贝叶斯风险解码等,实现了基于质量的神经机器翻译解码,经过多组数据集比较和人工评估,结果表明质量感知的神经机器翻译解码性能优于基于MAP的解码方法,且代码已公开。
Abstract
Despite the progress in
machine translation
quality estimation and evaluation in the last years, decoding in neural
machine translation
(NMT) is mostly oblivious to this and centers around finding the most probab
→