Фразалық аударма моделі

In this paper we propose a phrase-based translation system. In the system, we use phrase translation model instead of word-based model. An improved method of computing phrase translation probability is …...

This paper reports the NTT statistical translation system par- ticipating in the evaluation campaign of IWSLT 2005. The NTT system is based on a phrase translation model and uti- lizes …...

The Microsoft Research translation system is a syntactically informed phrasal SMT system that uses a phrase translation model based on dependency treelets and a global reordering model based on the …...

In recent years, the quantity of parallel train- ing data available for statistical machine trans- lation has increased far more rapidly than the performance of individual computers, re- sulting in …...

We describe the experiments of the UC Berke- ley team on improving English-Spanish ma- chine translation of news text, as part of the WMT’08 Shared Translation Task. We ex- periment …...

Bracketing Transduction Grammar (BTG) is a natural choice for effective integration of desired linguistic knowledge into sta- tistical machine translation (SMT). In this paper, we propose a Linguistically Anno- tated …...

We present a constituent parsing-based reordering technique that improves the performance of the state-of-the-art Eng- lish-to-Japanese phrase translation sys- tem that includes distortion models by 4.76 BLEU points. The phrase …...