Journal Article

Learning to generate pseudo-code from source code using statistical machine translation

  • Oda Y
  • Fudaba H
  • Neubig G
  • et al.
2015 30th IEEE/ACM … (2015)
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Abstract

… The last 1,805 is the “test” data used to evaluate the trained SMT models. The Python-to-Japanese corpus is smaller than the Python-to-English corpus, so we perform 10-fold cross-…

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Oda, Y., Fudaba, H., Neubig, G., Hata, H., & ... (2015). Learning to generate pseudo-code from source code using statistical machine translation. 2015 30th IEEE/ACM …. Retrieved from https://ieeexplore.ieee.org/abstract/document/7372045/ https://naist.repo.nii.ac.jp/?action=repository_action_common_download&item_id=5127&item_no=1&attribute_id=17&file_no=1

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