New data on text reading in English as a second language

Victor Kuperman, Sascha Schroeder, Cengiz Acartürk, Niket Agrawal, Dominick M. Alexandre, Lena S. Bolliger, Jan Brasser, César Campos-Rojas, Denis Drieghe, Dušica Filipović Durdević, Luiz Vinicius Gadelha De Freitas, Sofya Goldina, Romualdo Ibáñez Orellana, Lena A. Jäger, Ómar I. Jóhannesson, Anurag Khare, Nik Kharlamov, Hanne B.S. Knudsen, Árni Kristjánsson, Charlotte E. LeeJun Ren Lee, Marina P.T. Leite, Simona Mancini, Nataša Mihajlović, Ksenija Mišić, Miloslava Orekhova, Olga Parshina, Milica Popović Stijačić, Athanassios Protopapas, David R. Reich, Anurag Rimzhim, Rui Rothe-Neves, Thais M.M. Sá, Andrea Santana Covarrubias, Irina Sekerina, Heida M. Sigurdardottir, Anna Smirnova, Priyanka Srivastava, Elisangela N. Teixeira, Ivana Ugrinic, Kerem Alp Usal, Karolina Vakulya, João M.M. Vieira, Ark Verma, Denise H. Wu, Jin Xue, Sunčica Zdravković, Junjing Zhuo, Laoura Ziaka, Noam Siegelman

Research output: Contribution to journalArticlepeer-review

Abstract

This paper reports an expansion of the English as a second language (L2) component of the Multilingual Eye Movement Corpus (MECO L2), an international database of eye movements during text reading. While the previous Wave 1 of the MECO project (Kuperman et al.2023) contained English as a L2 reading data from readers with 12 different first language (L1) backgrounds, the newly collected dataset adds eye-tracking data on English text reading from 13 distinct L1 backgrounds (N = 660) as well as participants' scores on component skills of English proficiency and information about their demographics and language background and use. The paper reports reliability estimates, descriptive statistics, and correlational analyses as means to validate the expansion dataset. Consistent with prior literature and the MECO Wave 1, trends in the MECO Wave 2 data include a weak correlation between reading comprehension and oculomotor measures of reading fluency and a greater L1-L2 contrast in reading fluency than reading comprehension. Jointly with Wave 1, the MECO project includes English reading data from more than 1,200 readers representing a diversity of native writing systems (logographic, abjad, abugida, and alphabetic) and 19 distinct L1 backgrounds. We provide multiple pointers to new venues of how L2 reading researchers can mine this rich publicly available dataset.

Original languageEnglish
JournalStudies in Second Language Acquisition
DOIs
StateAccepted/In press - 2025

Keywords

  • comprehension
  • eye-tracking
  • fluency
  • reading
  • second language

All Science Journal Classification (ASJC) codes

  • Education
  • Language and Linguistics
  • Linguistics and Language

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