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Regular version of the site

Article

Russian Sentence Corpus: Benchmark measures of eye movements in reading in Russian

Behavior Research Methods. 2019. Vol. 51. No. 3. P. 1161-1178.
Laurinavichyute A., Sekerina I. A., Alexeeva S. V., Багдасарян К. А., Kliegl R.

The article introduces the new corpus of eye-movements in silent reading – the Russian Sentence Corpus (RSC). Russian uses Cyrillic script that has not yet been investigated in cross-linguistic eye-movement research. As in every language studied so far, we have confirmed the expected effects of low-level parameters, such as word length, frequency, and predictability, on the eye-movements of skilled Russian readers. These findings allow us to add Slavic languages using Cyrillic script (exemplified by Russian) to the growing number of languages with different orthographies ranging from the Roman-based European languages to logographic Asian ones whose basic eye-movement benchmarks conform to the universal comparative science of reading (Share 2008). We additionally report basic descriptive corpus statistics, and three exploratory investigations of the
effects of Russian morphology on the basic eye-movement measures that illustrate the kinds of questions researchers can answer using the RSC. The annotated corpus is freely available from the project page at Open Science Framework: https://osf.io/x5q2r/.