Reordering

We describe a method for incorporating syntactic informa- tion in statistical machine translation systems. The first step of the method is to parse the source language string that is be- …...

The performance of machine translation sys- tems varies greatly depending on the source and target languages involved. Determining the contribution of different characteristics of language pairs on system performance is …...

Reordering is a serious challenge in sta- tistical machine translation. We propose a method for analysing syntactic reorder- ing in parallel corpora and apply it to un- derstanding the differences …...

Reordering is a major challenge for machine translation between distant languages. Recent work has shown that evaluation metrics that explicitly account for target language word or- der correlate better with …...

Reordering is of essential importance for phrase based statistical machine translation (SMT). In this paper, we would like to present a new method of reordering in phrase based SMT. We …...

Reordering poses one of the greatest chal- lenges in Statistical Machine Translation re- search as the key contextual information may well be beyond the confine of translation units. We present …...

There have been many recent investigations into methods to tune SMT systems using large numbers of sparse features. However, there have not been nearly so many examples of helpful sparse …...

AbstractReordering poses a big challenge in statistical machine translation between distant language pairs. The paper presents how reordering between distant language pairs can be handled efficiently in phrase-based statistical machine …...

AbstractWe aim to shed light on the strengths and weaknesses of the newly introduced neural machine translation paradigm. To that end, we conduct a multifaceted evaluation in which we compare …...