Hadj Ameur, MS, Guessoum, A and Meziane, F 
ORCID: https://orcid.org/0000-0001-9811-6914
2017,
A POS-based preordering approach for English-to-Arabic statistical machine translation
, in: International Conference on Arabic Language Processing (ICALP’17), 11-12 October 2017, Fez, Morocco.
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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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Proceedings ISBN: 978-3-319-73499-6 |
| Schools: | Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre |
| Journal or Publication Title: | Proceedings of the International Conference on Arabic Language Processing (ICALP’17) |
| Publisher: | Springer |
| Related URLs: | |
| Depositing User: | Prof Farid Meziane |
| Date Deposited: | 13 Sep 2017 10:46 |
| Last Modified: | 21 May 2019 12:00 |
| URI: | http://usir.salford.ac.uk/id/eprint/43747 |
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