Please use this identifier to cite or link to this item:
Volltext verfügbar? / Dokumentlieferung
doi:10.22028/D291-42182 | Title: | Word Familiarity Classification From a Single Trial Based on Eye-Movements: A Study in German and English |
| Author(s): | Ryzhova, Margarita Škrjanec, Iza Quach, Nina Chase, Alice Virginia Ellsiepen, Emilia Demberg, Vera |
| Editor(s): | Kasneci, Enkelejda Shic, Frederick Khamis, Mohamed |
| Language: | English |
| Title: | Proceedings of the 2023 Symposium on Eye Tracking Research and Applications |
| Publisher/Platform: | ACM |
| Year of Publication: | 2023 |
| Place of the conference: | Tübingen, Germany |
| DDC notations: | 004 Computer science, internet 400 Language, linguistics |
| Publikation type: | Conference Paper |
| Abstract: | Identifying processing difficulty during reading due to unfamiliar words has promising applications in automatic text adaptation. We present a classification model that predicts whether a word is (un)known to the reader based on eye-movement measures. We examine German and English data and validate our model on unseen subjects and items achieving a high accuracy in both languages. |
| DOI of the first publication: | 10.1145/3588015.3590118 |
| URL of the first publication: | https://dl.acm.org/doi/10.1145/3588015.3590118 |
| Link to this record: | urn:nbn:de:bsz:291--ds-421820 hdl:20.500.11880/37895 http://dx.doi.org/10.22028/D291-42182 |
| ISBN: | 979-8-4007-0150-4 |
| Date of registration: | 19-Jun-2024 |
| Faculty: | MI - Fakultät für Mathematik und Informatik |
| Department: | MI - Informatik |
| Professorship: | MI - Prof. Dr. Vera Demberg |
| Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
There are no files associated with this item.
Items in SciDok are protected by copyright, with all rights reserved, unless otherwise indicated.