A corpus of text data and gaze fixations from autistic and non-autistic adults

Victoria Yaneva, Irina Temnikova, Ruslan Mitkov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The paper presents a corpus of text data and its corresponding gaze fixations obtained from autistic and non-autistic readers. The data was elicited through reading comprehension testing combined with eye-tracking recording. The corpus consists of 1034 content words tagged with their POS, syntactic role and three gaze-based measures corresponding to the autistic and control participants. The reading skills of the participants were measured through multiple-choice questions and, based on the answers given, they were divided into groups of skillful and less-skillful readers. This division of the groups informs researchers on whether particular fixations were elicited from skillful or less-skillful readers and allows a fair between-group comparison for two levels of reading ability. In addition to describing the process of data collection and corpus development, we present a study on the effect that word length has on reading in autism. The corpus is intended as a resource for investigating the particular linguistic constructions which pose reading difficulties for people with autism and hopefully, as a way to inform future text simplification research intended for this population.

Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016
PublisherEuropean Language Resources Association (ELRA)
Pages480-487
Number of pages8
ISBN (Electronic)9782951740891
Publication statusPublished - 1 Jan 2016
Event10th International Conference on Language Resources and Evaluation, LREC 2016 - Portoroz, Slovenia
Duration: 23 May 201628 May 2016

Other

Other10th International Conference on Language Resources and Evaluation, LREC 2016
CountrySlovenia
CityPortoroz
Period23/5/1628/5/16

Fingerprint

autism
Group
recording
comprehension
Fixation
linguistics
Reader
ability
resources
Autism
Word Length
Data Collection
Multiple Choice
Simplification
Reading Ability
Testing
Syntax
Reading Comprehension
Content Words
Resources

Keywords

  • Autism
  • Corpus
  • Eye tracking
  • Gaze fixations
  • Reading

ASJC Scopus subject areas

  • Linguistics and Language
  • Library and Information Sciences
  • Language and Linguistics
  • Education

Cite this

Yaneva, V., Temnikova, I., & Mitkov, R. (2016). A corpus of text data and gaze fixations from autistic and non-autistic adults. In Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016 (pp. 480-487). European Language Resources Association (ELRA).

A corpus of text data and gaze fixations from autistic and non-autistic adults. / Yaneva, Victoria; Temnikova, Irina; Mitkov, Ruslan.

Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016. European Language Resources Association (ELRA), 2016. p. 480-487.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yaneva, V, Temnikova, I & Mitkov, R 2016, A corpus of text data and gaze fixations from autistic and non-autistic adults. in Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016. European Language Resources Association (ELRA), pp. 480-487, 10th International Conference on Language Resources and Evaluation, LREC 2016, Portoroz, Slovenia, 23/5/16.
Yaneva V, Temnikova I, Mitkov R. A corpus of text data and gaze fixations from autistic and non-autistic adults. In Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016. European Language Resources Association (ELRA). 2016. p. 480-487
Yaneva, Victoria ; Temnikova, Irina ; Mitkov, Ruslan. / A corpus of text data and gaze fixations from autistic and non-autistic adults. Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016. European Language Resources Association (ELRA), 2016. pp. 480-487
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