We describe the Russian Sentence Corpus (RSC), which establishes benchmarks of eye movements in reading in Cyrillic. The RSC design follows the cross-linguistic protocol of the Potsdam Sentence Corpus for German (Kliegl et al., 2004). The RSC consists of 144 sentences including the target words of three parts of speech (nouns, verbs, and adjectives) and the corresponding eye-tracking while reading data from 96 young native speakers of Russian reading these sentences. The basic characteristics of eye movements while reading in Russian were described and compared to those of German. In general, the basic characteristics of eye movements were similar across languages, although Russian manifests systematic differences in the way word length aff...
The Potsdam Textbook Corpus (PoTeC) is a corpus of eye-tracking-while-reading data where participant...
This paper presents the results of a pilot eye tracking study involving reading and sight translatio...
The article focuses on two parallel studies aimed at validating an original automatic tool (RusAC) d...
This article introduces a new corpus of eye movements in silent reading—the Russian Sentence Corpus ...
This eye-tracking study establishes basic benchmarks of eye movements during reading in heritage lan...
In Сhapter 2 we describe how verbal information is processed at different linguistic levels, from re...
The study is aimed at investigating the potential for original automated Russian text analyzer RuLin...
© 2018 Rossiiskii Gosudarstvennyi Gumanitarnyi Universitet Society of Cosmetic Chemists. All rights ...
Until recently, large corpora of Russian had been lacking. This changed with the development of the ...
The paper describes the project of RuTOC – a corpus of online lessons in Russian as a foreign langua...
© 2018 - IOS Press and the authors. All rights reserved In this paper we explore to what extent text...
In this paper, we present first results of training a classifier for discriminating Russian texts in...
The central issue in current work on sentence processing is to explain how readers and listeners rec...
The present article investigates how phonotactic rules constrain oral reading in the Russian languag...
Poster presentationRussian is an Indo-European language that uses Cyrillic alphabet to represent t...
The Potsdam Textbook Corpus (PoTeC) is a corpus of eye-tracking-while-reading data where participant...
This paper presents the results of a pilot eye tracking study involving reading and sight translatio...
The article focuses on two parallel studies aimed at validating an original automatic tool (RusAC) d...
This article introduces a new corpus of eye movements in silent reading—the Russian Sentence Corpus ...
This eye-tracking study establishes basic benchmarks of eye movements during reading in heritage lan...
In Сhapter 2 we describe how verbal information is processed at different linguistic levels, from re...
The study is aimed at investigating the potential for original automated Russian text analyzer RuLin...
© 2018 Rossiiskii Gosudarstvennyi Gumanitarnyi Universitet Society of Cosmetic Chemists. All rights ...
Until recently, large corpora of Russian had been lacking. This changed with the development of the ...
The paper describes the project of RuTOC – a corpus of online lessons in Russian as a foreign langua...
© 2018 - IOS Press and the authors. All rights reserved In this paper we explore to what extent text...
In this paper, we present first results of training a classifier for discriminating Russian texts in...
The central issue in current work on sentence processing is to explain how readers and listeners rec...
The present article investigates how phonotactic rules constrain oral reading in the Russian languag...
Poster presentationRussian is an Indo-European language that uses Cyrillic alphabet to represent t...
The Potsdam Textbook Corpus (PoTeC) is a corpus of eye-tracking-while-reading data where participant...
This paper presents the results of a pilot eye tracking study involving reading and sight translatio...
The article focuses on two parallel studies aimed at validating an original automatic tool (RusAC) d...