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Statistical Machine Translation.pdf

201603_NLP_Oda_1.paper.pdf
Preview of Statistical Machine Translation
🔗 Source: ahcweb01.naist.jp
📊 Size: 568 KB
📄 Pages: 4 pages
⬇️ Downloads: 125

Summary

The proposed method uses multiple pre-reordering candidates to improve the accuracy of phrase-based statistical machine translation (PBMT). The method represents multiple pre-reordering candidates as a single graph structure, allowing for efficient exploration of all candidates during translation. The graph is constructed by integrating multiple pre-reordering graphs, each representing a single candidate, into a single graph. The method then uses dynamic programming to generate translations based on the graph structure. Experimental results show that the proposed method improves translation accuracy compared to traditional PBMT, especially for languages with different word orders. The method also reduces the computational time required for translation compared to traditional PBMT.

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Description

The proposed method uses multiple pre-reordering candidates to improve the accuracy of phrase-based statistical machine translation (PBMT).

Technical Information

  • File Format: PDF
  • File Size: 568 KB
  • Pages: 4
  • Language: EN
  • Total Downloads: 125
  • Last Updated: 1 week ago

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This PDF document about Statistical Machine Translation provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Statistical Machine Translation.

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