Paper: A Novel Reordering Model Based on Multi-layer Phrase for Statistical Machine Translation

ACL ID C10-1051
Title A Novel Reordering Model Based on Multi-layer Phrase for Statistical Machine Translation
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

Phrase reordering is of great importance for statistical machine translation. Ac- cording to the movement of phrase trans- lation, the pattern of phrase reordering can be divided into three classes: mono- tone, BTG (Bracket Transduction Grammar) and hierarchy. It is a good way to use different styles of reordering models to reorder different phrases ac- cording to the characteristics of both the reordering models and phrases itself. In this paper a novel reordering model based on multi-layer phrase (PRML) is proposed, where the source sentence is segmented into different layers of phras- es on which different reordering models are applied to get the final translation. This model has some advantages: differ- ent styles of phrase reordering models are easily incorporated toget...