Iterative reordering and word alignment for statistical MT
2011 (English)In: Proceedings of the 18th Nordic Conference of Computational Linguistics (NODALIDA 2011) / [ed] Bolette Sandford Pedersen, Gunta Nešpore and Inguna Skadiņa, 2011, 315-318 p.Conference paper (Refereed)
Word alignment is necessary for statistical machine translation (SMT), and reordering as a preprocessing step has been shown to improve SMT for many language pairs. In this initial study we investigate if both word alignment and reordering can be improved by iterating these two steps, since they both depend on each other. Overall no consistent improvements were seen on the translation task, but the reordering rules contain different information in the different iterations, leading us to believe that the iterative strategy can be useful.
Place, publisher, year, edition, pages
2011. 315-318 p.
, NEALT Proceedings Series, ISSN 1736-6305 ; 11
Machine translation, reordering
Language Technology (Computational Linguistics) Language Technology (Computational Linguistics) Computer Science
IdentifiersURN: urn:nbn:se:liu:diva-70122OAI: oai:DiVA.org:liu-70122DiVA: diva2:435669
The 18th Nordic Conference of Computational Linguistics, May 11–13, Riga, Latvia