Knowledge Required for Avoiding Lexical Errors at Machine Translation

نویسنده

  • Yukiko Sasaki
چکیده

This research aims at finding out the causes that led to wrong lexical selections in machine translation (MT) rather than categorizing lexical errors, which has been a main practice in error analysis. By manually examining and analyzing lexical errors outputted by a MT system, it suggests what knowledge would help the system reduce lexical errors. Keywords—Error analysis, causes of errors, machine translation, outputs evaluation.

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تاریخ انتشار 2017