Continuous-space translation models have recently emerged as extremely powerful ways to boost the performance of existing translation systems. A simple, yet effective way to integrate such models in inference is to use them in an N -best rescoring step. In this paper, we focus on this scenario and show that the performance gains in rescoring can be greatly increased when the neural network is t...

Ever since the establishment of Translation Studies as an independent academic discipline in 1970s, there has been ongoing debate about relationship between theory and practice, to which this paper aims make a modest practical contribution form novel procedure for textual analysis synthesis. Intellectual advances are often triggered by flashes inspiration suggest analogies that facilitate shift...

Word alignment is the basis of statistical machine translation. GIZA++ is a popular tool for producing word alignments and translation models. It uses a set of parameters that affect the quality of word alignments and translation models. These parameters exist to overcome some problems such as overfitting. This paper addresses the problem of tuning GIZA++ parameter for better translation qualit...

The present study aims at discussing whether metaphors in the Qur’an, revealed more than 1400 years ago, are dead, moribund or live and how these three types of metaphors have been translated in three English and three Persian translations of the Qur’an. The results reveal that among 70 metaphors examined, while only about 32.85% are live metaphors, about 67.14% are moribund, but none of the ca...