Hierarchical Phrase Based Machine Translation

Hierarchical phrase-based machine trans- lation can capture global reordering with synchronous context-free grammar, but has little ability to evaluate the correctness of word orderings during decoding. We propose a method …...

We describe our experiments with hier- archical phrase-based machine translation for WMT 2010 Shared Task. We provide a detailed description of our configuration and data so the results are replicable. …...

We describe our experiments with hier- archical phrase-based machine translation for the WMT 2011 Shared Task. We trained a system for all 8 translation di- rections between English on one …...

We introduce a lexicalized reordering model for hierarchical phrase-based ma- chine translation. The model scores mono- tone, swap, and discontinuous phrase ori- entations in the manner of the one pre- …...

AbstractThe typical training of a hierarchical phrase-based machine translation involves a pipeline of multiple steps where mistakes in early steps of the pipeline are propagated without any scope for rectifying …...

This paper proposes a soft dependency matching model for hierarchical phrase-based (HPB) machine translation. When a HPB rule is extracted, we enrich it with dependency knowledge automatically learnt from the …...

In Corpus-Based Machine Translation, the search space of the translation candidates for a given input sentence is often defined by a set of (cycle- free) context-free grammar rules. This happens …...

In hierarchical phrase-based machine translation, a rule table is automatically learned by heuristically extracting syn- chronous rules from a parallel corpus. As a result, spuriously many rules are extracted which …...