Reference Bias in Monolingual Machine Translation Evaluation

@inproceedings{Fomicheva2016ReferenceBI,
  title={Reference Bias in Monolingual Machine Translation Evaluation},
  author={Marina Fomicheva and Lucia Specia},
  booktitle={ACL},
  year={2016}
}
In the translation industry, human translations are assessed by comparison with the source texts. In the Machine Translation (MT) research community, however, it is a common practice to perform quality assessment using a reference translation instead of the source text. In this paper we show that this practice has a serious issue – annotators are strongly biased by the reference translation provided, and this can have a negative impact on the assessment of MT quality. 

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