Hierarchical Phrase Based Translation

We present a hierarchical phrase-based statistical machine translation in which a target sentence is efficiently generated in left-to-right order. The model is a class of synchronous-CFG with a Greibach Nor- …...

A major engineering challenge in statistical machine translation systems is the efficient representation of extremely large translation rulesets. In phrase-based models, this prob- lem can be addressed by storing the …...

This paper describes a lattice-based decoder for hierarchical phrase-based translation. The decoder is implemented with standard WFST operations as an alternative to the well-known cube pruning procedure. We find that …...

Hierarchical phrase-based translation (Hiero, (Chiang, 2005)) provides an attractive frame- work within which both short- and long- distance reorderings can be addressed consis- tently and ef�ciently. However, Hiero is gen- …...

Hierarchical phrase-based (HPB) translation provides a powerful mechanism to capture both short and long distance phrase reorder- ings. However, the phrase reorderings lack of contextual information in conventional HPB systems. …...

In this paper we study several advanced techniques and models for Arabic-to- English statistical machine translation. We examine how the challenges imposed by this particular language pair and transla- tion …...

This paper describes the German-English translation system developed by the ARK re- search group at Carnegie Mellon University for the Sixth Workshop on Machine Trans- lation (WMT11). We present the …...

We describe DFKI’s statistical based submis- sion to the 2012 WMT evaluation. The sub- mission is based on the freely available ma- chine translation toolkit Jane, which supports phrase-based and …...

We present a method for inference in hi- erarchical phrase-based translation, where both optimisation and sampling are per- formed in a common exact inference framework related to adaptive rejection sampling. …...

Lexicalized reordering model plays a central role in phrase-based statistical machine translation sys- tems. The reordering model specifies the orientation for each phrase and calculates its probability con- ditioned on …...

In this paper we explicitly consider source language syntactic information in both rule extraction and decoding for hierarchical phrase-based translation. We obtain tree-to-string rules by the GHKM method and use …...

We propose a simple and effective ap- proach to learn translation spans for the hierarchical phrase-based translation model. Our model evaluates if a source span should be covered by translation …...

In hierarchical phrase-based translation, coarse-grained nonterminal Xs may gen- erate inappropriate translations due to the lack of sufficient information for phrasal substitution. In this paper we propose a framework to …...