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Electronic Edition @ Nii.ac.jp (open Access).pdf

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Preview of electronic edition @ nii.ac.jp (open access)
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👤 Author: DTP1
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Summary

Tomoyosi Akiba, Kei Shimizu, Atsushi Fujii, and Katunobu Itou propose a novel approach for Cross-Lingual Question Answering (CLQA) utilizing statistical machine translation (SMT). The proposed method incorporates SMT into the question answering process, enabling direct passage retrieval from a document collection in a different language. Experiments on English-to-Japanese (EJ) CLQA using NTCIR CLQA 1 and 2 test collections showed that the proposed method outperformed the previous pre-translation approach. The system consists of document retrieval and passage similarity calculation subsystems, which use SMT to index Japanese documents with English terms and calculate similarity between English questions and Japanese passages.

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Tomoyosi Akiba, Kei Shimizu, Atsushi Fujii, and Katunobu Itou propose a novel approach for Cross-Lingual Question Answering (CLQA) utilizing statistical...

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  • File Format: PDF
  • File Size: 211 KB
  • Pages: 6
  • Language: EN
  • Author: DTP1
  • Total Downloads: 83
  • Last Updated: 4 hours ago

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