TY - GEN

T1 - Linguistic features and sociolinguistic variability in everyday spoken Russian

AU - Bogdanova-Beglarian, Natalia

AU - Sherstinova, Tatiana

AU - Blinova, Olga

AU - Martynenko, Gregory

N1 - Bogdanova-Beglarian, N., Sherstinova, T., Blinova, O., Martynenko, G: Linguistic Features and Sociolinguistic Variability in Everyday Spoken Russian. In: Lecture Notes in Computer Science, vol 10458. Springer, Cham, pp. 503-511.

PY - 2017

Y1 - 2017

N2 - The paper reviews the results of the project aimed at describing everyday Russian language and analyzing the special characteristics of its usage by different social groups. The presented study was made on the material of 125,000 words annotated subcorpus of the ORD corpus, which contains speech fragments of 256 people representing different gender, age, professional and status groups. The linguistic features from different linguistic levels, which could be considered as diagnostic for different social groups, have been analyzed. It turned out that in terms of sociolinguistic variability all features under investigation may be divided into three categories: (1) the diagnostic features, which display statistically significant differences between certain social groups; (2) the linguistic features, which could be considered as common for all sociolects and referring to some permanent, universal properties of everyday language; and (3) the potentially diagnostic features, which have shown some quantitative difference between the considered groups, but the extent of this difference does not allow to regard them as statistically significant at the moment. The last group of features is the most extensive and requires additional studies on a larger amount of speech data.

AB - The paper reviews the results of the project aimed at describing everyday Russian language and analyzing the special characteristics of its usage by different social groups. The presented study was made on the material of 125,000 words annotated subcorpus of the ORD corpus, which contains speech fragments of 256 people representing different gender, age, professional and status groups. The linguistic features from different linguistic levels, which could be considered as diagnostic for different social groups, have been analyzed. It turned out that in terms of sociolinguistic variability all features under investigation may be divided into three categories: (1) the diagnostic features, which display statistically significant differences between certain social groups; (2) the linguistic features, which could be considered as common for all sociolects and referring to some permanent, universal properties of everyday language; and (3) the potentially diagnostic features, which have shown some quantitative difference between the considered groups, but the extent of this difference does not allow to regard them as statistically significant at the moment. The last group of features is the most extensive and requires additional studies on a larger amount of speech data.

KW - русская спонтанная речь

KW - русский язык

KW - социолингвистика

UR - https://link.springer.com/chapter/10.1007/978-3-319-66429-3_50

U2 - 10.1007/978-3-319-66429-3_50

DO - 10.1007/978-3-319-66429-3_50

M3 - Conference contribution

SN - 978-3-319-66428-6

T3 - Lecture Notes in Computer Science

SP - 503

EP - 511

BT - Speech and Computer

PB - Springer Nature

T2 - 19th International Conference on Speech and Computer

Y2 - 11 September 2017 through 15 September 2017

ER -