Building a Corpus of Errors and Quality in Machine Translation: Experiments on Error Impact

In this paper we describe a corpus of automatic translations annotated with both error type and quality. The 300 sentences that we have selected were generated by Google Translate, Systran and two in-house Machine Translation systems that use Moses technology... (read more)

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