Chinese English Translation Task

In this paper, we describe a phrase-based unigram model for statistical machine translation that uses a much simpler set of model parameters than similar phrase- based models. The units of …...

. In statistical machine translation, word alignment models are trained on bilingual corpora. Long sentences pose severe problems: 1. the high computational requirements; 2. the poor quality of the resulting …...

We address the problem of training the free parameters of a statistical machine transla- tion system. We show significant improve- ments over a state-of-the-art minimum er- ror rate training baseline …...

AbstractThis paper describes the University of Maryland statistical machine translation system used in the IWSLT 2007 evaluation. Our focus was threefold: using hierarchical phrase-based models in spoken language translation, the …...

. In statistical machine translation, the number of sentence pairs in the bilingual corpus is very important to the quality of translation. However, when the quantity reaches some extent, enlarging …...

This study proposes a word alignment model based on a recurrent neural net- work (RNN), in which an unlimited alignment history is represented by re- currently connected hidden layers. We …...

The neural network joint model of transla- tion or NNJM (Devlin et al., 2014) combines source and target context to produce a power- ful translation feature. However, its softmax layer …...