Description
The Dutch Image Description and Eye-tracking Corpus (DIDEC) contains 307 images from the MS COCO dataset, provided with eye-tracking data and spoken descriptions (about 16 per image). A unique feature of this corpus is that it has two kinds of eye-tracking data, side-by-side:
1. Free viewing data, where participants look at an image for three seconds.
2. Production viewing data, collected simultaneously with the spoken descriptions.
The spoken descriptions are manually transcribed, and annotated with tags indicating corrections, repetitions, and (filled) pauses.
1. Free viewing data, where participants look at an image for three seconds.
2. Production viewing data, collected simultaneously with the spoken descriptions.
The spoken descriptions are manually transcribed, and annotated with tags indicating corrections, repetitions, and (filled) pauses.
| Date made available | 16 Oct 2024 |
|---|---|
| Publisher | DataverseNL |
| Geographical coverage | DCC lab, Tilburg University |
Research output
- 1 Conference contribution
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DIDEC: The Dutch Image Description and Eye-tracking Corpus
van Miltenburg, E., Kadar, A., Koolen, R. & Krahmer, E., 2018, Proceedings of the 27th International Conference on Computational Linguistics. p. 3658–3669 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile
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