State-of-the-art statistical machine translation (MT) systems have made significant progress
towards producing user-acceptable translation output. However, there is still no efficient way …

Long-distance reordering remains one of the biggest challenges facing machine translation.
We derive soft constraints from the source dependency parsing to directly address the …

Word reordering is one of the fundamental problems of machine translation. It is an
important factor in the quality and efficiency of machine translations. Tackling the reordering …

A large percentage of the world's population speaks a language of the Indian subcontinent,
what we will call here Indic languages, comprising languages from both Indo-European (eg …

Reordering poses a major challenge in machine translation (MT) between two languages
with significant differences in word order. In this paper, we present a novel reordering …

In this paper, we dissect the influence of several target-side dependency-based extensions
to hierarchical machine translation, including a dependency language model (LM). We …

Dependency structures represent a sentence as a set of dependency relations. Normally the
dependency structures from a tree connect all the words in a sentence. One of the most …

Reordering is a major challenge in machine translation (MT) between two languages with
significant differences in word order. In this paper, we present an approach as pre …

Long distance reordering remains one of the greatest challenges in statistical machine
translation research as the key contextual information may well be beyond the confine of …

Learning semantic representation for translation context is beneficial to statistical machine
translation (SMT). Previous efforts have focused on implicitly encoding syntactic and …