Dual-Path phrase-based statistical machine translation

Susan Howlett, Mark Dras

Research output: Contribution to journalConference paperpeer-review


Preceding a phrase-based statistical machine translation (PSMT) system by a syntactically-informed reordering preprocessing step has been shown to improve overall translation performance compared to a baseline PSMT system. However, the improvement is not seen for every sentence. We use a lattice input to a PSMT system in order to translate simultaneously across both original and reordered versions of a sentence, and include a number of confidence features to support the system in choosing on a sentence-by-sentence basis whether to use the reordering process. In German-to-English translation, our best system achieves a BLEU score of 21.39, an improvement of 0.62.
Original languageEnglish
Pages (from-to)32-40
Number of pages9
JournalProceedings of the Australasian Language Technology Association Workshop 2010
Publication statusPublished - 2010
EventAustralasian Language Technology Association Workshop - Melbourne
Duration: 9 Dec 201010 Dec 2010

Cite this