Quantitative fine-grained human evaluation of machine translation systems: a case study on English to Croatian
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DOI: 10.1007/s10590-018-9214-x
Abstract: This paper presents a quantitative fine-grained manual evaluation approach to comparing the performance of different machine translation (MT) systems. We build upon the well-established multidimensional quality metrics (MQM) error taxonomy and implement a novel method… read more here.
Keywords: machine; phrase; machine translation; fine grained ... See more keywords