Sustaining Disruption? The Transition from Statistical to Neural Machine Translation

被引：10
作者：
Kenny, Dorothy [1 ]
机构：
[1] Dublin City Univ, Dublin, Ireland
来源：
TRADUMATICA-TRADUCCIO I TECNOLOGIES DE LA INFORMACIO I LA COMUNICACIO | 2018年 / 16期
关键词：
disruptive innovation; machine translation; statistical MT; neural MT; quality metrics; mobility;
D O I：
10.5565/rev/tradumatica.221
中图分类号：
H0 [语言学];
学科分类号：
030303 ; 0501 ; 050102 ;
摘要：
If statistical machine translation (SMT) was a disruptive technology, then neural machine translation (NMT) is probably a sustaining technology, continuing on a trajectory already established by SMT, and initially evaluated in much the same way as its predecessor. Seeing NMT in this light may be a useful corrective to the hype that has surrounded its introduction.
引用
收藏
页码：59 / 70
页数：12
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