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2011-bojar-p6043313203062413568.pdf
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🔗 Source: ufal.mff.cuni.cz
📊 Size: 91 KB
👤 Author: Ondr20 rej Bojar ; Ales Tamchyna
⬇️ Downloads: 147

Summary

Researchers Ondřej Bojar and Aleš Tamchyna propose "reverse self-training" to improve statistical machine translation by utilizing target-side monolingual data, enhancing the translation model's ability to produce grammatically correct translations, especially in small-data settings and for languages with richer morphology. They evaluate this method on several European language pairs, discussing back-off techniques for translating unseen word forms, and describe their systems submitted to the WMT11 Shared Task. Experiments using common tools like Moses and SRILM show improved translation quality, measured by the BLEU metric, when incorporating monolingual data into the translation model.

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Researchers Ondřej Bojar and Aleš Tamchyna propose "reverse self-training" to improve statistical machine translation by utilizing target-side monolingual...

Technical Information

  • File Format: PDF
  • File Size: 91 KB
  • Pages: 7
  • Language: EN
  • Author: Ondr20 rej Bojar ; Ales Tamchyna
  • Total Downloads: 147
  • Last Updated: 1 week ago

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