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W09-0417.pdf
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🔗 Source: aclanthology.org
📊 Size: 137 KB
👤 Author: Alexandre Allauzen ; Josep Crego ; Aurelien Max ; Francois Yvon
⬇️ Downloads: 82

Summary

LIMSI's statistical translation systems for WMT'09 are described, with four systems developed using two MT toolkits: Moses and N-code. The primary submission is a Moses-based system boosted with contextual information on phrases, contrasted with a conventional Moses-based system. Additional contrasts are based on the N-code decoder, one using part of the English/French GigaWord parallel corpus. The systems were trained on various corpora, including Europarl V4, news commentary, and additional news data, totaling 1.5M sentences. Language models were trained on large corpora, with vocabulary sizes of 1M words in both languages. The systems were tuned using minimum error rate training and the simplex algorithm.

Description

LIMSI's statistical translation systems for WMT'09 are described, with four systems developed using two MT toolkits: Moses and N-code.

Technical Information

  • File Format: PDF
  • File Size: 137 KB
  • Pages: 5
  • Language: EN
  • Author: Alexandre Allauzen ; Josep Crego ; Aurelien Max ; Francois Yvon
  • Total Downloads: 82
  • Last Updated: 7 hours ago

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