Билингвальные тренировочные данные

In modern machine translation practice, a sta- tistical phrasal or hierarchical translation sys- tem usually relies on a huge set of trans- lation rules extracted from bi-lingual train- ing data. …...

In this paper, we propose a recurrent neural network-based tuple sequence model (RNNTSM) that can help phrase-based translation model overcome the phrasal independence assumption. Our RNNTSM can potentially capture arbitrary …...

Domain adaptation for statistical machine translation is the task of altering general models to improve performance on the test domain. In this work, we suggest several novel weighting schemes based …...