A Source-side Decoding Sequence Model for Statistical Machine Translation
Minwei Feng, Arne Mauser, Hermann Ney · RWTH Publications (RWTH Aachen) · 2010
We propose a source-side decoding sequence language model for phrase-based statistical machine translation. This model is a reordering model in the sense that it helps the decoder find the correct decoding sequence. The model uses word-aligned bilingual training data. We show improved translation quality of up to 1.34 % BLEU and 0.54 % TER using this model compared to three other widely used reordering models. 1