We extend the factored translation model to allow translations of longer phrases composed of factors such as POS and morphological tags to act as templates for the selection and reordering of surface phrase translation. We also reintroduce the use of alignment information within the decoder, which forms an integral part of decoding in the Alignment Template System (Och, 2002), into phrase-based decoding. Results show an increase in translation performance of up to 1.0% BLEU for out-of-domain French-English translation. We also show how this method compares and relates to lexicalized reordering.
REF used POS tags to create templates for surface word translation to create longer phrase translation.
Improving Mid-Range Re-Ordering Using Templates of Factors
EACL
Computer Science