9th Annual Conference of the International Speech Communication Association

Brisbane, Australia
September 22-26, 2008

Spoken Language Translation Systems ************ ASR Word Lattice Translation with Exhaustive Reordering is Possible

Evgeny Matusov, Björn Hoffmeister, Hermann Ney

RWTH Aachen University, Germany

This paper shows how ASR word lattices can be translated even when exhaustive reordering is required for good translation quality. We propose a method for labeling lattice word hypotheses with position information derived from a confusion network (CN). This information is effectively used in the statistical phrase-based machine translation (MT) search to reduce its complexity, which makes even long-range reordering possible. The proposed method has the benefits of the CN-based MT without having its theoretical drawbacks.

We compare our novel search with the search based on single-best recognition output and on confusion networks. We obtain significant improvements on two translation tasks over the single-best search and gain over the CN search on a task requiring heavy reordering.

Full Paper

Bibliographic reference.  Matusov, Evgeny / Hoffmeister, Björn / Ney, Hermann (2008): "Spoken language translation systems ************ ASR word lattice translation with exhaustive reordering is possible", In INTERSPEECH-2008, 2342-2345.