Repairing Incorrect Translation with Examples
Junguo Zhu, Muyun Yang, Li Sheng, Tiejun Zhao · 2013
This paper proposes an example driven ap-proach to improve the quality of MT system outputs. Specifically, We extend the system combination method in SMT to combine the examples by two strategies: 1) estimating the confidence of examples by the similarity be-tween source input and the source part of ex-amples; 2) approximating target word posteri-or probability by the word alignments of the bilingual examples. Experimental results show a significant improvement of 0.64 BLEU score as compared to one online translation service (Google Translate).