… (2) the lack of reordering generalization. This paper presents a reordering approach called
statistical machine reordering (SMR) which improves the reordering capabilities of SMT sys…

… We collected statistics to evaluate how often and accurately the reordering rules are applied
in the … reorder sentences. The vast majority of reordering errors are due to parsing mistakes. …

… We have presented a novel discriminative reordering model for statistical machine translation.
This model is trained on the word aligned bilingual corpus using the maximum entropy …

… for statistical machine translation that reorders the source side based on Part of Speech (POS)
information. Reordering rules are learned from the word aligned corpus. Reordering is …

… In statistical machine translation, the generation of a translation hypothesis is … In this
paper, we compare two different reordering constraints, namely the ITG constraints and the IBM …

… a novel reordering model for phrase-based statistical machine … , hierarchical phrasal reordering
with generalization based on … We present an algorithm to extract all reordering events of …

… reordering viewed as a statistical modeling challenge and as a natural language phenomenon.
The survey describes in detail how word reordering is … in advanced reordering modeling. …

… is under the scope of the distance-based model, long-distance reordering is simply …
reordering and local reordering in place of long-distance reordering and short-distance reordering …

… In this paper we have described local phrase reordering models developed for use in
statistical machine translation. The models are carefully formulated so that they can be …

… This article is about a search procedure for statistical machine translation (MT). The task of
… The major difference between the search problem in speech recognition and statistical MT is …