Our approach to the problem is more compatible with the empirical evidence we presented in our prior work ( Li et al. , 2014 ) where we analyzed the output of Chinese to English machine translation and found that there is no correlation between sentence length and MT quality .
assessing the discourse factors that influence the quality of machine translation
Junyi Jessy Li Marine Carpuat Ani Nenkova
In contrast , the model we propose here can be used to predict when segmentation is at all necessary . Our approach to the problem is more compatible with the empirical evidence we presented in our prior work ( Li et al. , 2014 ) where we analyzed the output of Chinese to English machine translation and found that there is no correlation between sentence length and MT quality . Rather we showed that the quality of translation was markedly inferior , compared to overall translation quality , for sentences that were translated into multiple English sentences .
Our approach to the problem is more compatible with the empirical evidence we presented in our prior work ( @@CITATION ) where we analyzed the output of Chinese to English machine translation and found that there is no correlation between sentence length and MT quality .