We present a method for improving word alignment for statistical syntax-based machine translation that employs a syntactically informed alignment model closer to the translation model than commonly-used word alignment models. This leads to extraction of more useful linguistic patterns and improved BLEU scores on translation experiments in Chinese and Arabic. 1 Methods of statistical MT Roughly ...

Historically, Markovian predictors have been very successful in predicting branch outcomes. In this work we propose a hybrid scheme that employs two Prediction by Partial Matching (PPM) Markovian predictors, one that predicts based on local branch histories and one based on global branch histories. The two independent predictions are combined using a neural network. On the CBP-2 traces the prop...

Molodtsov introduced the concept of soft sets. In this paper, we present the definition of soft N -groups and construct some basic properties by using N -groups and Molodtsov’s definition of soft sets. We introduce the notions of soft N -subgroups, soft N -ideal, N -idealistic soft N -groups and soft N -group homomorphisms. Moreover, the relations between N -idealistic soft N -groups and soft N...