Koichi Akabe

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In this paper, we propose a new method for effective error analysis of machine translation (MT) systems. In previous work on error analysis of MT, error trends are often shown by frequency. However, if we attempt to perform a more detailed analysis based on frequently erroneous word strings, the word strings also often occur in correct translations, and(More)
Understanding the behavior of source code written in an unfamiliar programming language is difficult. One way to aid understanding of difficult code is to add corresponding pseudo-code, which describes in detail the workings of the code in a natural language such as English. In spite of its usefulness, most source code does not have corresponding(More)
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