NIST MT 05

We propose a novel reordering model for phrase-based statistical machine transla- tion (SMT) that uses a maximum entropy (MaxEnt) model to predicate reorderings of neighbor blocks (phrase pairs). The model …...

Inspired by previous preprocessing ap- proaches to SMT, this paper proposes a novel, probabilistic approach to reordering which combines the merits of syntax and phrase-based SMT. Given a source sentence …...

Currently there are several approaches to machine translation (MT) based on differ- ent paradigms; e.g., phrasal, hierarchical and syntax-based. These three approaches yield similar translation accuracy despite using fairly different …...

We propose a general approach for trans- lating Chinese unknown words (UNK) for SMT. This approach takes advantage of the properties of Chinese word composition rules, i.e., all Chinese words …...

Bracketing Transduction Grammar (BTG) is a natural choice for effective integration of desired linguistic knowledge into sta- tistical machine translation (SMT). In this paper, we propose a Linguistically Anno- tated …...