Improved Reordering for Shallow-n Grammar based Hierarchical Phrase-based Translation

Efficient Left-to-Right Hierarchical Phrase-Based Translation with Improved Reordering

Which Words Matter in Defining Phrase Reordering Behavior in Statistical Machine Translation?

Lexicalized and hierarchical reordering models use relative frequencies of fully lexicalized phrase pairs to learn phrase reordering distributions. This results in unreliable estimation for infrequent phrase pairs which …

Lexicalized Reordering for Left-to-Right Hierarchical Phrase-based Translation

Phrase-based and hierarchical phrase-based (Hiero) translation models differ radically in the way reordering is modeled. Lexicalized reordering models play an important role in phrase-based MT and such models have been a…

Neural Reordering Model Considering Phrase Translation and Word Alignment for Phrase-based Translation

This paper presents an improved lexicalized reordering model for phrase-based statistical machine translation using a deep neural network. Lexicalized reordering suffers from reordering ambiguity, data sparseness and noi…

Learning synchronous context-free grammars with multiple specialised non-terminals for hierarchical phrase-based translation

Translation models based on hierarchical phrase-based statistical machine translation (HSMT) have shown better performances than the non-hierarchical phrase-based counterparts for some language pairs. The standard approa…