Papers by Nicolas Dirix

1 papers
GECO-MT: The Ghent Eye-tracking Corpus of Machine Translation (2022.lrec-1)

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Challenge: Despite improvements in machine translation output, remarkable differences can be observed when comparing machine translations (MT) and human translations.
Approach: They describe a corpus of eye movement data collected during natural reading of a human translation and a machine translation of . they use this corpus to investigate the effect of machine translation on the reading process and the effects of various error types on reading.
Outcome: The proposed corpus will be used in future research to investigate the effect of machine translation on the reading process and the effects of various error types on reading.

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