TY - GEN

T1 - Syntactic Segmentation of Spontaneous Speech: Psychological and Cognitive Aspects

AU - Stepikhov, Anton

AU - Loukina, Anastassia

AU - Stepikhova, Natella

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Annotation

KW - Dominant hemisphere

KW - Lateral asymmetry

KW - Personality

KW - Russian

KW - Segmentation

KW - Sentence boundary detection

KW - Spontaneous speech

KW - Working memory capacity

UR - http://www.scopus.com/inward/record.url?scp=85071445047&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/syntactic-segmentation-spontaneous-speech-psychological-cognitive-aspects

U2 - 10.1007/978-3-030-26061-3_47

DO - 10.1007/978-3-030-26061-3_47

M3 - Conference contribution

SN - 9783030260606

VL - 11658

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 459

EP - 470

BT - Speech and Computer - 21st International Conference, SPECOM 2019, Proceedings

A2 - Salah, Albert Ali

A2 - Salah, Albert Ali

A2 - Karpov, Alexey

A2 - Potapova, Rodmonga

PB - Springer Nature

ER -