DOI

The paper examines the properties of expert manual annotation of Russian spontaneous speech. While it is well known that experts exhibit variability in the ways they mark transcripted speech, our aim is to arrive at the reasons behind such variability. In this study we focus on the annotator’s psychological profile (personality traits, working memory capacity, processing speed and lateral asymmetry). Our focus is to determine whether there is a relationship between the annotated sentence length and the psychological and cognitive characteristics of the annotator. We also study inter-annotator agreement in different text types. The participants (n = 80) detected sentence boundaries in the transcripts of Russian spontaneous speech and performed several test tasks. Personality traits were measured using the Five Factor Personality Inventory. Working memory capacity was measured through reading span and operation span tasks. To compute processing speed we used Letter Comparison and Pattern Comparison tasks. A dominant hemisphere for speech processing was established based on a dichotic listening task. The data analysis did not reveal any relationship between annotators individual characteristics and segmentation results. However, we found that annotators do tend to mark sentence length in a way that is individual to them and that such practices remain relatively stable regardless of text type or even language.

Язык оригиналаанглийский
Название основной публикацииSpeech and Computer - 21st International Conference, SPECOM 2019, Proceedings
РедакторыAlbert Ali Salah, Albert Ali Salah, Alexey Karpov, Rodmonga Potapova
ИздательSpringer Nature
Страницы459-470
Число страниц12
Том11658
ISBN (печатное издание)9783030260606
DOI
СостояниеОпубликовано - 1 янв 2019

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том11658 LNAI
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

    Предметные области Scopus

  • Гуманитарные науки и искусство (все)
  • Теоретические компьютерные науки
  • Компьютерные науки (все)

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