Main content

Contributors:

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: This page provides the data and materials for TECO, an eye-tracking corpus containing eye movement data collected from Japanese L2 English learners during passage reading.The current version of TECO includes nine eye-tracking measures for 41 participants, with each participant reading approximately 10,000 words, totaling over 410,000 words. These measures are: (a) skipping, (b) first fixation duration, (c) gaze duration, (d) total fixation duration, (e) number of fixations, (f) refixation, (g) regression-in, (h) rereading, and (i) regression path duration. The corpus also provides additional information about the words in the passages read by the participants, such as their length, frequency, and position. Please read the following Terms of Use and related publications before using the TECO data. ========Terms of Use========= Last updated: May 16, 2024. By using the Tsukuba Eye-Tracking Corpus (TECO), you agree to the following terms: - Disclaimer of Liability: The TECO development team shall not be held responsible for any damages or issues that arise from the use of the corpus. - Accuracy and Errors: While the TECO development team takes great care to ensure there are no inaccuracies, missing information, or errors in the corpus, they do not assume responsibility for any inaccuracies, missing information, or errors that may be present. - No Legal Warranty: The data and information contained in the TECO are provided without any legal warranty. - Changes and Updates: The data and information contained in the TECO may be changed or updated without prior notice. =====Publication and Preprints======= Nahatame, S., Ogiso, T., Kimura, Y., & Ushiro, Y. (2024). TECO: An eye-tracking corpus of Japanese L2 English learners’ text reading. Research Methods in Applied Linguistics, 3(2), 100123. https://doi.org/10.1016/j.rmal.2024.100123 Nahatame, S., Kimura, Y., Ogiso, T., & Ushiro, Y. (2024). Global eye movement behavior of Japanese EFL readers: Analysis of passage-level eye-tracking measures. ARELE: Annual Review of English Language Education in Japan, 35, 17–32. (available online soon) Nahatame, S., & Yamaguchi, K. (2024, September 2). Revisiting text readability and processing effort in L2 reading: Evidence from Bayesian modeling of eye-tracking data. https://doi.org/10.31219/osf.io/5wksq Nahatame, S., & Uchida, S. (2024, September 13). Relative importance of lexical features in word processing during L2 reading. https://doi.org/10.31219/osf.io/x5wmh =====Contents======= -Data --Eye-tracking data ---wordmeasure_v1.csv (word-level eye-tracking measures) ---Index list.xlsx --Participant data ---participant info_v1.csv (participant information such as proficiency and self-confidence) --Text data ---word info_v1.csv (word information such as length and frequency) -Reading Materials --Reading Materials.pdf

Files

Loading files...

Citation

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.