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

Conference paper

Hadj Ameur, MS, Guessoum, A and Meziane, F. 2018. A POS-based preordering approach for English-to-Arabic statistical machine translation. International Conference on Arabic Language Processing. Fez, Morocco 11 - 12 Oct 2017 Springer. https://doi.org/10.1007/978-3-319-73500-9_3
AuthorsHadj Ameur, MS, Guessoum, A and Meziane, F.
TypeConference paper
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.

KeywordsArabic NLP; Machine translation; Preordering; Reordering rules; Statistical translation
Year2018
ConferenceInternational Conference on Arabic Language Processing
JournalCommunications in Computer and Information Science
PublisherSpringer
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-319-73500-9_3
Web address (URL)http://www.citala.org/icalp2017/
Journal citationVol 782, pp. 34 - 49
ISBN978-3-319-73500-9
978-3-319-73499-6
Web address (URL) of conference proceedingshttps://link.springer.com/book/10.1007/978-3-319-73500-9
Output statusPublished
Publication dates
Online05 Jan 2018
13 Aug 2017
Publication process dates
Deposited05 Jun 2023
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