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Phrase-Based Machine Translation based on Simulated Annealing

Caroline Lavecchia 1 David Langlois 1 Kamel Smaïli 1 
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper, we propose a new phrase-based translation model based on inter-lingual triggers. The originality of our method is double. First we identify common source phrases. Then we use inter-lingual triggers in order to retrieve their translations. Furthermore, we consider the way of extracting phrase translations as an optimization issue. For that we use simulated annealing algorithm to find out the best phrase translations among all those determined by inter-lingual triggers. The best phrases are those which improve the translation quality in terms of Bleu score. Tests are achieved on movie subtitle corpora. They show that our phrase-based machine translation (PBMT) system outperforms a state-of-the-art PBMT system by almost 7 points.
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Submitted on : Thursday, June 5, 2008 - 10:17:59 AM
Last modification on : Saturday, June 25, 2022 - 7:41:34 PM
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  • HAL Id : inria-00285277, version 1



Caroline Lavecchia, David Langlois, Kamel Smaïli. Phrase-Based Machine Translation based on Simulated Annealing. Sixth international conference on Language Resources and Evaluation - LREC 2008, May 2008, Marrakech, Morocco. ⟨inria-00285277⟩



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