Can Your Eyes Tell Us Why You Hesitate? Comparing Reading Aloud in Russian as L1 and Japanese as L2

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In the paper, we claim that analyzing eye movement patterns while reading aloud can provide new evidence on multichannel processing. The current study focuses on the unfilled (silent) hesitation pauses that occur during unprepared reading in Russian as a first and Japanese as a second languages. We analyzed the pauses in the oral texts produced by 10 native Russian speakers while reading two text fragments in Japanese and their Russian translations. The eye movements were recorded while the participants were reading the texts. According to the results, the pause duration in L1 can be related to the time spent on the text processing both before and during the hesitation, whereas in L2 the hesitation duration is associated only with the processing time of the following segment. Moreover, when reading aloud in L2, where the number of pauses within the sentences exceeded the number of hesitations at the sentence boundary, the participants spent more time processing the text that followed the hesitation within a sentence, compared to sentence boundaries. In L1, however, we did not find any difference in text processing considering the location of the hesitation, although there were more pauses at sentence boundaries than within one sentence in Russian. The results suggest that in Russian as L1, the readers spend the same time after encountering a difficulty within a sentence and when preparing the next one, whereas in a second language the mid-sentence planning requires more time.

Original languageEnglish
Title of host publicationSpeech and Computer - 23rd International Conference, SPECOM 2021, Proceedings
EditorsAlexey Karpov, Rodmonga Potapova
PublisherSpringer Nature
Number of pages13
ISBN (Electronic)978-3-030-87802-3
ISBN (Print)9783030878016
StatePublished - 2021
Event23rd International Conference on Speech and Computer, SPECOM 2021 - Virtual, Online, Russian Federation
Duration: 27 Sep 202130 Sep 2021
Conference number: 23

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12997 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference23rd International Conference on Speech and Computer, SPECOM 2021
Abbreviated titleSPECOM 2021
Country/TerritoryRussian Federation
CityVirtual, Online
Internet address

Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


  • Hesitations
  • Reading aloud
  • Second language


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