Papers with natural reading
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. |
ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation (2020.lrec-1)
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| Challenge: | a new dataset of eye-tracking and electroencephalography captures language understanding . eye movement data provides millisecond-accurate records of where humans look when reading . |
| Approach: | They recorded and preprocessed eye-tracking and electroencephalography data during natural reading and during annotation. |
| Outcome: | The study combines eye-tracking and electroencephalography to capture the reading process . the data can be used to evaluate state-of-the-art machine learning systems . |