A POS-based preordering approach for English-to-Arabic statistical machine translation

Hadj Ameur, MS; Guessoum, A; Meziane, F

Abstract

In this work, we present a POS-based preordering approach
that tackles both long- and short-distance reordering phenomena. Syntactic unlexicalized reordering rules are automatically extracted from a parallel corpus using only word alignment and a source-side language tagging. The reordering rules are used in a deterministic manner; this prevents the decoding speed from being bottlenecked in the reordering procedure. A new approach for both rule filtering and rule application is used to ensure a fast and efficient reordering. The tests performed on the IWSLT2016 English-to-Arabic evaluation benchmark show a noticeable
increase in the overall Blue Score for our system over the baseline PSMT system.

Citation

Hadj Ameur, M., Guessoum, A., & Meziane, F. (2017, October). A POS-based preordering approach for English-to-Arabic statistical machine translation. Presented at International Conference on Arabic Language Processing (ICALP’17), Fez, Morocco

• Presentation Conference Type: Other
• Conference Name: International Conference on Arabic Language Processing (ICALP’17)
• Conference Location: Fez, Morocco
• Start Date: Oct 11, 2017
• End Date: Oct 12, 2017
• Acceptance Date: Aug 13, 2017
• Deposit Date: Sep 13, 2017
• Publicly Available Date: Nov 1, 2017
• Publisher: Springer
• Publisher URL: http://www.citala.org/icalp2017/
• Related Public URLs: http://www.springer.com/series/7899
• Additional Information: Additional Information : Proceedings ISBN: 978-3-319-73499-6; Event Type : Conference