Selective Combination of Pivot and Direct Statistical Machine Translation Models
Ahmed El Kholy, Nizar Y. Habash, Gregor Leusch, Evgeny Matusov, Hassan Sawaf · International Joint Conference on Natural Language Processing · 2013
In this paper, we propose a selective combination approach of pivot and direct statistical machine translation (SMT) models to improve translation quality. We work with Persian-Arabic SMT as a case study. We show positive results (from 0.4 to 3.1 BLEU on different direct training corpus sizes) in addition to a large reduction of pivot translation model size.