The Beijing Sentence Corpus: A Chinese sentence corpus with eye movement data and predictability norms

Jinger PAN, Ming YAN, Eike M. RICHTER, Hua SHU, Reinhold KLIEGL

Research output: Contribution to journalArticlespeer-review

4 Citations (Scopus)

Abstract

This report introduces the Beijing Sentence Corpus (BSC). This is a Chinese sentence corpus of eye-tracking data with relatively clear word boundaries. In addition, we report predictability norms for each word in the corpus. Eye movement corpora are available in alphabetic scripts such as English, German, and French. However, there is no publicly available corpus for Chinese. Thus, to study predictive processes during reading in Chinese, it is necessary to establish such a corpus. Also, given the clear word boundaries in the sentences, BSC is especially useful to provide evidence relevant to the theoretical debate of saccade target selection in Chinese. With the large-scale predictability norms, we conducted new analyses based on 60 BSC readers, testing the influences of launch word and target word properties while controlling for visual and oculomotor constraints, as well as sentence and subject-level individual differences. We discuss implications for guidance of eye movements in Chinese reading. Copyright © 2021 The Psychonomic Society, Inc.
Original languageEnglish
JournalBehavior Research Methods
Early online dateNov 2021
DOIs
Publication statusE-pub ahead of print - Nov 2021

Citation

Pan, J., Yan, M., Richter, E. M., Shu, H., & Kliegl, R. (2021). The Beijing Sentence Corpus: A Chinese sentence corpus with eye movement data and predictability norms. Behavior Research Methods. Advance online publication. doi: 10.3758/s13428-021-01730-2

Keywords

  • Corpus analysis
  • Eye tracking
  • Chinese reading
  • Predictability

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