This paper describes how word alignment information makes machine translation more effi- cient. Following a statistical approach based on finite-state ...
Evgeny Matusov, Stephan Kanthak, and Hermann Ney. 2005. Efficient statistical machine translation with constrained reordering. In Proceedings of the 10th EAMT ...
Abstract. This paper describes how word alignment information makes machine translation more effi- cient. Following a statistical approach based on ...
This paper performs reordering of source sentences in training using automatic word alignments and estimates a phrase-based translation model, and proposes ...
This paper describes how word alignment information makes machine translation more effi-cient. Following a statistical approach based on finite-state ...
Efficient statistical machine translation with constrained reordering ... In: Practical applications of machine translation : 10th EAMT Conference, 30-31 May 2005 ...
This paper describes a new method to compare reordering constraints for Statistical Machine Translation. We investigate the best possible (oracle) Bleu score ...
In this paper, we develop an approach called syntax-based reordering (SBR) to handling the fundamental problem of word ordering for statistical machine ...
Missing: constrained | Show results with:constrained
Mar 6, 2015 · Matusov et al. (2005) constrain reordering when the input word sequence was consistently translated monotone in the training data.
Mar 14, 2016 · Word reordering is one of the most difficult aspects of statistical machine translation (SMT), and an important factor of its quality and ...