engleski

What Makes Machine-Translated Poetry Look Bad? A Human Error Classification Analysis

Human translation of literary works is a profession as ancient as the appearance of writing with a very long tradition. However, with the ever-growing improvements of technologies in the field of machine translation, the possibilities of adopting machine- translated literary texts are in constant progress. Nevertheless, human evaluation of machine-translated text is a necessity. The aim of this paper is to examine what makes machine translations appear bad in terms of error types that occur within such translations. Therefore, a human error classification analysis on a machine-translated text corpus in the domain of poetry is conducted. This study could be used for improving the methodology for machine translation evaluation of literary texts.

machine translation ; quality evaluation ; human analysis ; error classification ; natural language processing ; information and communication sciences

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